CN118981580A - A figure page display method and system based on interest point recognition - Google Patents
A figure page display method and system based on interest point recognition Download PDFInfo
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Abstract
本发明公开了一种基于兴趣点识别的手办页面展示方法和系统，涉及手办页面的兴趣点技术领域，本发明包括视觉平面技术检测、视觉立体技术检测和个性化推荐展示。视觉平面技术检测中，统计各用户的各浏览手办类型的历史限量版手办部位浏览次数、历史限量版手办部位浏览时长和历史限量版手办收藏次数，分析各手办页面的浏览兴趣点指数，及时体现用户的浏览行为，从而提高了手办的曝光率，进而及时了解消费者偏好的变化。视觉立体技术检测中：通过对各用户的登录的手办页面，记录各用户的手办页面图像的三维空间，分析各手办页面的细节兴趣点指数，提高了用户的购买满意度，增加了手办产品的成交量，改善了手办的产品吸引力。
The present invention discloses a figure page display method and system based on interest point recognition, which relates to the technical field of interest points of figure pages. The present invention includes visual plane technology detection, visual stereo technology detection and personalized recommendation display. In the visual plane technology detection, the number of historical limited edition figure part browsing times, historical limited edition figure part browsing time and historical limited edition figure collection times of each browsing figure type of each user are counted, and the browsing interest point index of each figure page is analyzed to timely reflect the user's browsing behavior, thereby improving the exposure rate of the figure, and then timely understanding the changes in consumer preferences. In the visual stereo technology detection: through the figure page logged in by each user, the three-dimensional space of each user's figure page image is recorded, and the detailed interest point index of each figure page is analyzed, which improves the user's purchase satisfaction, increases the transaction volume of figure products, and improves the product attractiveness of the figure.
Description
Technical Field
The invention relates to the technical field of interest points of a hand-held page, in particular to a hand-held page display method and system based on interest point identification.
Background
With the continuous progress of technology, the display method of the handhold page is more popular and perfect, and brings more convenience and fun to users. The method for displaying the handy page of the interest point identification provides an innovative and strong-interaction mode for displaying and enjoying handy, which not only enhances the shopping experience of consumers, but also provides a novel ornamental mode for collection lovers. However, due to the increasing number of users, the user's handling points of interest cannot be known in time, and further, point of interest identification on the handling page is necessary.
The interest point identification of the host page in the prior art can meet basic requirements, but some potential defects and challenges exist, and the following aspects are embodied:
1. In the prior art, the research on the browsing interest point index of each hand page is not deep enough, the browsing times of the historical limit version hand-office part, the browsing time of the historical limit version hand-office part and the collection times of the historical limit version hand-office part of each browsing type hand office of each user have critical influence on the browsing interest points, because the browsing interest points of each user on each hand-operated page are inconsistent with the attention degree of the user on the hand-operated page, the purchasing of each hand-operated page by the user is influenced, the selection requirement degree of each user on the hand-operated page is reduced, the browsing behavior of the user cannot be reflected in time, the exposure rate of the hand-operated page is reduced, the change of the preference of the consumer cannot be known in time, and the problem of the trend prediction of the future market is weakened.
2. In the prior art, the attention degree of the facial expression fine value of each hand-held page is insufficient, so that texture details of each browsing hand-held type cannot be effectively identified, the detail interest points of an appearance user and a detail user are affected, the purchase satisfaction degree of the user is further reduced, the success rate of hand-held products is reduced, the attraction of the hand-held products is reduced, and the market demand cannot be met.
Disclosure of Invention
The invention aims to provide a method for displaying a hand-held page based on interest point identification, which solves the problems in the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme: in a first aspect, a method for displaying a hand-held page based on point of interest identification, the method comprising the steps of:
and matching according to the interest labels of the users and the labels of the handoffs, counting the browsing times of the history limiting version handoffs of each browsing handoffs type of each handoffs page, the browsing time of the history limiting version handoffs and the collection times of the history limiting version handoffs, and analyzing the browsing interest point index of each handoffs page.
And recording the three-dimensional space of the hand-office page image of each user through the logged-in hand-office page of each user to obtain three-dimensional image data of the hand-office feature of each hand-office page image, wherein the three-dimensional image data comprises clothing fold reduction values, facial expression fine values and joint flexibility of each browsing hand-office type of each hand-office page, and further analyzing the detail interest point index of each hand-office page.
Based on the obtained browsing interest point index of each hand-operated page and the detail interest point index of each hand-operated page, analyzing the interest point identification coefficient of each hand-operated page, constructing the pushing content of the interest point of the personalized hand-operated page, and displaying each hand-operated page.
Further, the specific analysis method for analyzing the browsing interest point index of each handy page comprises the following steps: based on the counted browsing times of the historical limit version of the hand-office part, the browsing time of the historical limit version of the hand-office part and the historical limit version of the hand-office collection times of each browsing type of the hand-office page, the browsing interest point index of each hand-office page is analyzed, and the specific calculation method comprises the following steps: Wherein Denoted as the firstThe first hand pageThe historical limit version of the browsing handy type is used for browsing the handy part for times,Denoted as the firstThe historical limit version of the type of browse handouts for each handout page is a total number of times,Denoted as the firstThe first hand pageA history of the individual browse handoffs types limited version handoffs site browse durations,Denoted as the firstThe historical limit version of the viewed hand type for each hand page is the total length of the hand site,Denoted as the firstThe first hand pageHistorical limit version of the browse handle type handle collection times,Denoted as the firstThe historical limit version of the browse hand type for each hand page gives the total collection times,Represented as the number of the hand-held page,，Expressed as the number of pages to be handled,A number representing the type of browse handoffs for the handoffs page,，Represented as the number of browse handoffs.
Further, the detailed interest point index of each handout page is analyzed, and the specific analysis method comprises the following steps: comparing the historical consumption frequency of each user of each handy page with the consumption frequency interval corresponding to the appearance user stored in the database, and if the historical consumption frequency of a certain user of a certain handy page is in the consumption frequency interval corresponding to the appearance user, marking the user as the appearance user to obtain each appearance user.
Comparing the historical consumption price of each user of each handy page with the consumption price interval corresponding to the detail user stored in the database, and if the historical consumption price of a certain user of a certain handy page is in the consumption price interval corresponding to the detail user, marking the user as the detail user to obtain each detail user.
And comparing the historical consumption frequency and the historical consumption price of each user of each hand-operated page with the consumption frequency interval corresponding to the appearance user and the consumption price interval corresponding to the detail user stored in the database respectively, and if the historical consumption frequency of the user of a certain hand-operated page is in the consumption frequency interval corresponding to the appearance user and the historical consumption price of the user of a certain hand-operated page is in the consumption price interval corresponding to the detail user, marking the user as a comprehensive user.
The detail interest point index of each handy page is analyzed, and the specific formula is as follows: Wherein Denoted as the firstThe first hand pageThe minutiae index of the individual appearance users,，Represented as the number of the apparent user,Expressed as the number of apparent users,Denoted as the firstThe first hand pageA minutiae point index for each minutiae user,，Represented as the number of the detail user,Represented as the number of users of the detail,Denoted as the firstThe first hand pageThe minutiae index of the individual integrated users,，Represented as the number of the integrated user,Expressed as the number of integrated users.
Further, the detailed interest point index of each appearance user of each handout page is specifically analyzed by the following method: the detail interest point index of each appearance user of each handy page is analyzed, and the specific calculation formula is as follows: Wherein Denoted as the firstThe first hand pageThe garment detail reduction of the individual appearance users meets the index,Denoted as the firstThe first hand pageThe experience of the individual appearance user corresponds to the index.
Further, the clothing detail reduction coincidence index of each appearance user of each handy page comprises the following specific analysis method: extracting each historical purchasing record of each appearance user of each handling page from a database, extracting each historical clothing fold reduction value of each browsing handling type of each historical purchasing record, and based on each clothing fold reduction value of each browsing handling type of each handling page, if a certain browsing handling type of a certain handling page is consistent with a browsing handling type of a certain appearance user of the handling page, comparing each clothing fold reduction value of the browsing handling type of the handling page with each clothing fold reduction value of the browsing handling type of the historical purchasing record of the appearance user, and evaluating clothing detail reduction coincidence index of the appearance user of the handling page, wherein a specific calculation formula is as follows: wherein, the method comprises the steps of, wherein, The first of the browse handhold types represented as the handhold pageThe reduction value of the folds of the clothing,，A number expressed as a garment fold reduction value,Expressed as the number of garment fold reduction values,Browse handy type represented as the historical purchase record of the appearance userThe clothing fold reduction values are obtained, and then the clothing detail reduction coincidence index of each appearance user of each handy page is obtained。
Further, the experience of each appearance user of each handy page accords with an index, and the specific analysis method comprises the following steps: extracting each historical purchase order of each appearance user of each hand page from a database, further extracting the browsing hand type and joint flexibility corresponding to each historical purchase order, mapping to obtain the joint flexibility of each historical purchase order corresponding to each browsing hand type, further extracting the joint flexibility required interval of each browsing hand type, and based on the joint flexibility of each browsing hand type of each hand page, if a certain browsing hand type of a certain hand page is consistent with the browsing hand type of a certain appearance user of the hand page, comparing the joint flexibility of the appearance user of the hand page with the joint flexibility required interval of the historical purchase order of the appearance user, and if the joint flexibility of the appearance user of a certain hand page is within the joint flexibility required interval of the historical purchase order of a certain appearance user, recording the experience coincidence index of the appearance user of the hand page asOtherwise, it is recorded as，Obtaining experience coincidence index of each appearance user of each handy pageWhereinThe value of (2) isOr (b)。
Further, the detailed interest point index of each detail user of each hand page is specifically analyzed by the following method: based on the obtained facial expression fine values of each browsing hand-office type of each hand-office page, analyzing the detail interest point index of each detail user of each hand-office page, wherein the specific calculation formula is as follows: Wherein Denoted as the firstThe first hand pageA fine value of facial expression of the browse-hand type,Expressed as a facial expression fine reference of the browse handle type in the database.
Further, the interest point identification coefficient of each hand page has a specific calculation formula as follows:。
further, the specific analysis method for displaying each handy page comprises the following steps: and sorting the interest point identification coefficients of the hand-held pages according to descending order to obtain sorted hand-held pages.
Combining the reference interest point identification coefficients corresponding to the interest point identification coefficient intervals of the various handling pages stored in the database, comparing the reference interest point identification coefficients corresponding to the interest point identification coefficient intervals of the various handling pages stored in the database with the interest point identification coefficients, screening to obtain the interest point identification coefficients of the various handling pages to be referred, subtracting the interest point identification coefficients of the various handling pages to be referred from the actual interest point identification coefficients of the various handling pages to obtain the interest point identification coefficient differences of the various handling pages, performing descending processing on the interest point identification coefficient differences of the various handling pages to obtain the reordered handling interest point identification pages, and displaying.
In a second aspect of the present invention, a system for performing a method of presenting a hand-held page based on point of interest identification, comprises: visual plane technology detection module: and matching according to the interest labels of the users and the labels of the handoffs, counting the browsing times of the history limiting version handoffs of each browsing handoffs type of each handoffs page, the browsing time of the history limiting version handoffs and the collection times of the history limiting version handoffs, and analyzing the browsing interest point index of each handoffs page.
Visual stereo technology detection module: the three-dimensional image data is used for recording the three-dimensional space of the hand-office page image of each user through the logged-in hand-office page of each user to obtain the three-dimensional image data of the hand-office feature of each hand-office page image, wherein the three-dimensional image data comprises a clothing fold reduction value, a facial expression fine value and joint flexibility of each browsing hand-office type of each hand-office page, and further, the detail interest point index of each hand-office page is analyzed.
Personalized recommendation display module: based on the obtained browsing interest point index of each hand-operated page and the detail interest point index of each hand-operated page, analyzing the interest point identification coefficient of each hand-operated page, constructing the pushing content of the interest point of the personalized hand-operated page, and displaying each hand-operated page.
The invention has the beneficial effects that:
1. By tracking the historical browsing paths and clicking behaviors of the users on the hand-held pages, the historical limit version hand-held part browsing times, the historical limit version hand-held part browsing time and the historical limit version hand-held collection times of the various browsing hand-held types of the users are counted, the browsing interest point index of the various hand-held pages is analyzed, and the browsing behaviors of the users are reflected in time, so that the exposure rate of the hands is improved, the change of consumer preference is further known in time, and the problem of future market trend prediction is improved.
2. By logging in the hand-office pages of each user, the three-dimensional space of the hand-office page images of each user is recorded, the three-dimensional image data of the hand-office features of each hand-office page image is obtained, and the detail interest point index of each hand-office page is analyzed, so that the purchase satisfaction of the user is improved, the volume of the hand-office products is increased, the product attractiveness of the hand-office is improved, and the market demand is met.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
FIG. 2 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a method for displaying a hand page based on point of interest identification, including: step one, visual plane technology detection, step two, visual stereoscopic technology detection and step three, personalized recommendation display.
Step one, visual plane technology detection: and matching according to the interest labels of the users and the labels of the handoffs, counting the browsing times of the history limiting version handoffs of each browsing handoffs type of each handoffs page, the browsing time of the history limiting version handoffs and the collection times of the history limiting version handoffs, and analyzing the browsing interest point index of each handoffs page.
In the above embodiment, the analyzing the browsing interest point index of each of the handy pages specifically includes: based on the counted browsing times of the historical limit version of the hand-office part, the browsing time of the historical limit version of the hand-office part and the historical limit version of the hand-office collection times of each browsing type of the hand-office page, the browsing interest point index of each hand-office page is analyzed, and the specific calculation method comprises the following steps: Wherein Denoted as the firstThe first hand pageThe historical limit version of the browsing handy type is used for browsing the handy part for times,Denoted as the firstThe historical limit version of the type of browse handouts for each handout page is a total number of times,Denoted as the firstThe first hand pageA history of the individual browse handoffs types limited version handoffs site browse durations,Denoted as the firstThe historical limit version of the viewed hand type for each hand page is the total length of the hand site,Denoted as the firstThe first hand pageHistorical limit version of the browse handle type handle collection times,Denoted as the firstThe historical limit version of the browse hand type for each hand page gives the total collection times,Represented as the number of the hand-held page,，Expressed as the number of pages to be handled,A number representing the type of browse handoffs for the handoffs page,，Represented as the number of browse handoffs.
In the first step, in the visual plane technology detection, the historical limit version hand-office part browsing times, the historical limit version hand-office part browsing time and the historical limit version hand-office collection times of each browsing hand-office type of each user are counted through tracking the historical browsing path and clicking actions of each user on the hand-office page, the browsing interest point index of each hand-office page is analyzed, and the browsing actions of the user are reflected in time, so that the exposure rate of the user is improved, the change of consumer preference is further known in time, and the problem of trend prediction of future markets is improved.
Step two, visual stereo technology detection: the three-dimensional image data is used for recording the three-dimensional space of the hand-office page image of each user through the logged-in hand-office page of each user to obtain the three-dimensional image data of the hand-office feature of each hand-office page image, wherein the three-dimensional image data comprises a clothing fold reduction value, a facial expression fine value and joint flexibility of each browsing hand-office type of each hand-office page, and further, the detail interest point index of each hand-office page is analyzed.
It should be noted that, the garment fold reduction value, the facial expression fine value and the joint flexibility of each browsing and handling type of each handling page are respectively obtained by analysis of the existing detail analysis technology, texture analysis technology and joint analysis technology.
The fine facial expression value is expressed as a numerical value of the specific expression of each of the surface textures handled.
In the above embodiment, the specific analysis method for analyzing the detailed interest point index of each of the handy pages is as follows: comparing the historical consumption frequency of each user of each handy page with the consumption frequency interval corresponding to the appearance user stored in the database, and if the historical consumption frequency of a certain user of a certain handy page is in the consumption frequency interval corresponding to the appearance user, marking the user as the appearance user to obtain each appearance user.
Comparing the historical consumption price of each user of each handy page with the consumption price interval corresponding to the detail user stored in the database, and if the historical consumption price of a certain user of a certain handy page is in the consumption price interval corresponding to the detail user, marking the user as the detail user to obtain each detail user.
And comparing the historical consumption frequency and the historical consumption price of each user of each hand-operated page with the consumption frequency interval corresponding to the appearance user and the consumption price interval corresponding to the detail user stored in the database respectively, and if the historical consumption frequency of the user of a certain hand-operated page is in the consumption frequency interval corresponding to the appearance user and the historical consumption price of the user of a certain hand-operated page is in the consumption price interval corresponding to the detail user, marking the user as a comprehensive user.
The detail interest point index of each handy page is analyzed, and the specific formula is as follows: Wherein Denoted as the firstThe first hand pageThe minutiae index of the individual appearance users,，Represented as the number of the apparent user,Expressed as the number of apparent users,Denoted as the firstThe first hand pageA minutiae point index for each minutiae user,，Represented as the number of the detail user,Represented as the number of users of the detail,Denoted as the firstThe first hand pageThe minutiae index of the individual integrated users,，Represented as the number of the integrated user,Expressed as the number of integrated users.
In the above embodiment, the detailed interest point index of each appearance user of each handout page is specifically analyzed by: the detail interest point index of each appearance user of each handy page is analyzed, and the specific calculation formula is as follows: Wherein Denoted as the firstThe first hand pageThe garment detail reduction of the individual appearance users meets the index,Denoted as the firstThe first hand pageThe experience of the individual appearance user corresponds to the index.
In the above embodiment, the clothing detail reduction coincidence index of each appearance user of each handy page is specifically analyzed by: extracting each historical purchasing record of each appearance user of each handling page from a database, extracting each historical clothing fold reduction value of each browsing handling type of each historical purchasing record, and based on each clothing fold reduction value of each browsing handling type of each handling page, if a certain browsing handling type of a certain handling page is consistent with a browsing handling type of a certain appearance user of the handling page, comparing each clothing fold reduction value of the browsing handling type of the handling page with each clothing fold reduction value of the browsing handling type of the historical purchasing record of the appearance user, and evaluating clothing detail reduction coincidence index of the appearance user of the handling page, wherein a specific calculation formula is as follows: wherein, the method comprises the steps of, wherein, The first of the browse handhold types represented as the handhold pageThe reduction value of the folds of the clothing,，A number expressed as a garment fold reduction value,Expressed as the number of garment fold reduction values,Browse handy type represented as the historical purchase record of the appearance userThe clothing fold reduction values are obtained, and then the clothing detail reduction coincidence index of each appearance user of each handy page is obtained。
In the above embodiment, the experience coincidence index of each appearance user of each handy page is specifically analyzed by: extracting each historical purchase order of each appearance user of each hand page from a database, further extracting the browsing hand type and joint flexibility corresponding to each historical purchase order, mapping to obtain the joint flexibility of each historical purchase order corresponding to each browsing hand type, further extracting the joint flexibility required interval of each browsing hand type, and based on the joint flexibility of each browsing hand type of each hand page, if a certain browsing hand type of a certain hand page is consistent with the browsing hand type of a certain appearance user of the hand page, comparing the joint flexibility of the appearance user of the hand page with the joint flexibility required interval of the historical purchase order of the appearance user, and if the joint flexibility of the appearance user of a certain hand page is within the joint flexibility required interval of the historical purchase order of a certain appearance user, recording the experience coincidence index of the appearance user of the hand page asOtherwise, it is recorded as，Obtaining experience coincidence index of each appearance user of each handy pageWhereinThe value of (2) isOr (b)。
In the above embodiment, the detailed interest point index of each detail user of each handout page is specifically analyzed by: based on the obtained facial expression fine values of each browsing hand-office type of each hand-office page, analyzing the detail interest point index of each detail user of each hand-office page, wherein the specific calculation formula is as follows: Wherein Denoted as the firstThe first hand pageA fine value of facial expression of the browse-hand type,Expressed as a facial expression fine reference of the browse handle type in the database.
It should be noted that, the detailed interest point index of each comprehensive user of each handy page is specifically analyzed by the following method: the method comprises the steps of analyzing and obtaining first detail interest point indexes of all comprehensive users of all the handy pages according to the analysis method of the detail interest point indexes of all appearance users of all the handy pages, analyzing and obtaining second detail interest point indexes of all the comprehensive users of all the handy pages according to the analysis method of the detail interest point indexes of all the detail users of all the handy pages, adding the first detail interest point indexes and the second detail interest point indexes of all the comprehensive users of all the handy pages, and dividing by 2 to obtain the detail interest point indexes of all the comprehensive users of all the handy pages.
In the second step, visual stereo technology detection: by logging in the hand-office pages of each user, the three-dimensional space of the hand-office page images of each user is recorded, the three-dimensional image data of the hand-office features of each hand-office page image is obtained, and the detail interest point index of each hand-office page is analyzed, so that the purchase satisfaction of the user is improved, the volume of the hand-office products is increased, the product attractiveness of the hand-office is improved, and the market demand is met.
Step three, personalized recommendation display: based on the obtained browsing interest point index of each hand-operated page and the detail interest point index of each hand-operated page, analyzing the interest point identification coefficient of each hand-operated page, constructing the pushing content of the interest point of the personalized hand-operated page, and displaying each hand-operated page.
In the above embodiment, the specific calculation formula of the interest point identification coefficient of each handy page is:。
In the above embodiment, the specific analysis method for displaying each of the handy pages is as follows: and sorting the interest point identification coefficients of the hand-held pages according to descending order to obtain sorted hand-held pages.
Combining the reference interest point identification coefficients corresponding to the interest point identification coefficient intervals of the various handling pages stored in the database, comparing the reference interest point identification coefficients corresponding to the interest point identification coefficient intervals of the various handling pages stored in the database with the interest point identification coefficients, screening to obtain the interest point identification coefficients of the various handling pages to be referred, subtracting the interest point identification coefficients of the various handling pages to be referred from the actual interest point identification coefficients of the various handling pages to obtain the interest point identification coefficient differences of the various handling pages, performing descending processing on the interest point identification coefficient differences of the various handling pages to obtain the reordered handling interest point identification pages, and displaying.
Referring to FIG. 2, a system for performing a point of interest identification based method of presenting a hand-held page, comprising: visual plane technology detection module: and matching according to the interest labels of the users and the labels of the handoffs, counting the browsing times of the history limiting version handoffs of each browsing handoffs type of each handoffs page, the browsing time of the history limiting version handoffs and the collection times of the history limiting version handoffs, and analyzing the browsing interest point index of each handoffs page.
Visual stereo technology detection module: the three-dimensional image data is used for recording the three-dimensional space of the hand-office page image of each user through the logged-in hand-office page of each user to obtain the three-dimensional image data of the hand-office feature of each hand-office page image, wherein the three-dimensional image data comprises a clothing fold reduction value, a facial expression fine value and joint flexibility of each browsing hand-office type of each hand-office page, and further, the detail interest point index of each hand-office page is analyzed.
Personalized recommendation display module: based on the obtained browsing interest point index of each hand-operated page and the detail interest point index of each hand-operated page, analyzing the interest point identification coefficient of each hand-operated page, constructing the pushing content of the interest point of the personalized hand-operated page, and displaying each hand-operated page.
The database is used for storing the total times, the total time length and the total collection times of the historical limit version of the browsing and handling type of each handling page, the consumption frequency interval corresponding to the appearance user, the clothing fold reduction value of each appearance user of each handling page, the joint flexibility of each historical purchase order of each appearance user of each handling page, the facial expression fine reference value of the browsing and handling type, the reference interest point identification coefficient corresponding to each ordering number prediction coefficient interval, the consumption frequency interval corresponding to the appearance user and the consumption frequency interval corresponding to the detail user.
The visual plane technology detection module is connected with the database, the visual stereoscopic technology detection module is connected with the database, the visual plane technology detection module is connected with the visual stereoscopic technology detection module, and the visual stereoscopic technology detection module is connected with the personalized recommendation display module.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. The method for displaying the hand-held page based on the interest point identification is characterized by comprising the following steps of:
according to the matching of the interest labels of the users and the labels of the handoffs, the browsing times of the history limiting version handoffs of each browsing handoffs type of each handoffs page, the browsing time of the history limiting version handoffs and the collection times of the history limiting version handoffs are counted, and the browsing interest point index of each handoffs page is analyzed;
Recording a three-dimensional space of a hand-office page image of each user through the logged-in hand-office page of each user to obtain three-dimensional image data of hand-office features of each hand-office page image, wherein the three-dimensional image data comprises clothing fold reduction values, facial expression fine values and joint flexibility of each browsing hand-office type of each hand-office page, and further analyzing detail interest point indexes of each hand-office page;
Based on the obtained browsing interest point index of each hand-operated page and the detail interest point index of each hand-operated page, analyzing the interest point identification coefficient of each hand-operated page, constructing the pushing content of the interest point of the personalized hand-operated page, and displaying each hand-operated page.
2. The method for displaying a hand-held page based on point of interest recognition according to claim 1, wherein the analyzing the browsing interest point index of each hand-held page comprises the following specific steps:
based on the counted browsing times of the historical limit version of the hand-office part, the browsing time of the historical limit version of the hand-office part and the historical limit version of the hand-office collection times of each browsing type of the hand-office page, the browsing interest point index of each hand-office page is analyzed, and the specific calculation method comprises the following steps: Wherein Denoted as the firstThe first hand pageThe historical limit version of the browsing handy type is used for browsing the handy part for times,Denoted as the firstThe historical limit version of the type of browse handouts for each handout page is a total number of times,Denoted as the firstThe first hand pageA history of the individual browse handoffs types limited version handoffs site browse durations,Denoted as the firstThe historical limit version of the viewed hand type for each hand page is the total length of the hand site,Denoted as the firstThe first hand pageHistorical limit version of the browse handle type handle collection times,Denoted as the firstThe historical limit version of the browse hand type for each hand page gives the total collection times,Represented as the number of the hand-held page,，Expressed as the number of pages to be handled,A number representing the type of browse handoffs for the handoffs page,，Represented as the number of browse handoffs.
3. The method for displaying a hand-held page based on point of interest recognition according to claim 2, wherein the analyzing the detailed point of interest index of each hand-held page comprises the following specific analysis steps:
Comparing the historical consumption frequency of each user of each handy page with the consumption frequency interval corresponding to the appearance user stored in the database, and if the historical consumption frequency of a certain user of a certain handy page is in the consumption frequency interval corresponding to the appearance user, marking the user as the appearance user to obtain each appearance user;
Comparing the historical consumption price of each user of each handy page with the consumption price interval corresponding to the detail user stored in the database, and if the historical consumption price of a certain user of a certain handy page is in the consumption price interval corresponding to the detail user, marking the user as the detail user to obtain each detail user;
Comparing the historical consumption frequency and the historical consumption price of each user of each hand-operated page with the consumption frequency interval corresponding to the appearance user and the consumption price interval corresponding to the detail user stored in the database respectively, and if the historical consumption frequency of the user of a certain hand-operated page is in the consumption frequency interval corresponding to the appearance user and the historical consumption price of the user of a certain hand-operated page is in the consumption price interval corresponding to the detail user, marking the user as a comprehensive user;
the detail interest point index of each handy page is analyzed, and the specific formula is as follows: Wherein Denoted as the firstThe first hand pageThe minutiae index of the individual appearance users,，Represented as the number of the apparent user,Expressed as the number of apparent users,Denoted as the firstThe first hand pageA minutiae point index for each minutiae user,，Represented as the number of the detail user,Represented as the number of users of the detail,Denoted as the firstThe first hand pageThe minutiae index of the individual integrated users,，Represented as the number of the integrated user,Expressed as the number of integrated users.
4. The method for displaying a hand-held page based on point of interest recognition according to claim 3, wherein the detailed point of interest index of each appearance user of each hand-held page is as follows:
the detail interest point index of each appearance user of each handy page is analyzed, and the specific calculation formula is as follows: Wherein Denoted as the firstThe first hand pageThe garment detail reduction of the individual appearance users meets the index,Denoted as the firstThe first hand pageThe experience of the individual appearance user corresponds to the index.
5. The method for displaying a hand-held page based on point of interest recognition according to claim 4, wherein the method for analyzing the clothing detail reduction coincidence index of each appearance user of each hand-held page specifically comprises the following steps:
Extracting each historical purchasing record of each appearance user of each handling page from a database, extracting each historical clothing fold reduction value of each browsing handling type of each historical purchasing record, and based on each clothing fold reduction value of each browsing handling type of each handling page, if a certain browsing handling type of a certain handling page is consistent with a browsing handling type of a certain appearance user of the handling page, comparing each clothing fold reduction value of the browsing handling type of the handling page with each clothing fold reduction value of the browsing handling type of the historical purchasing record of the appearance user, and evaluating clothing detail reduction coincidence index of the appearance user of the handling page, wherein a specific calculation formula is as follows: wherein, the method comprises the steps of, wherein, The first of the browse handhold types represented as the handhold pageThe reduction value of the folds of the clothing,，A number expressed as a garment fold reduction value,Expressed as the number of garment fold reduction values,Browse handy type represented as the historical purchase record of the appearance userThe clothing fold reduction values are obtained, and then the clothing detail reduction coincidence index of each appearance user of each handy page is obtained。
6. The method for displaying a hand-held page based on point of interest recognition according to claim 4, wherein the experience of each appearance user of each hand-held page meets an index, and the specific analysis method comprises:
Extracting each historical purchase order of each appearance user of each hand page from a database, further extracting the browsing hand type and joint flexibility corresponding to each historical purchase order, mapping to obtain the joint flexibility of each historical purchase order corresponding to each browsing hand type, further extracting the joint flexibility required interval of each browsing hand type, and based on the joint flexibility of each browsing hand type of each hand page, if a certain browsing hand type of a certain hand page is consistent with the browsing hand type of a certain appearance user of the hand page, comparing the joint flexibility of the appearance user of the hand page with the joint flexibility required interval of the historical purchase order of the appearance user, and if the joint flexibility of the appearance user of a certain hand page is within the joint flexibility required interval of the historical purchase order of a certain appearance user, recording the experience coincidence index of the appearance user of the hand page as Otherwise, it is recorded as，Obtaining experience coincidence index of each appearance user of each handy pageWhereinThe value of (2) isOr (b)。
7. The method for displaying a hand-held page based on point of interest recognition according to claim 3, wherein the detailed point of interest index of each detail user of each hand-held page is specifically analyzed by:
based on the obtained facial expression fine values of each browsing hand-office type of each hand-office page, analyzing the detail interest point index of each detail user of each hand-office page, wherein the specific calculation formula is as follows: Wherein Denoted as the firstThe first hand pageA fine value of facial expression of the browse-hand type,Expressed as a facial expression fine reference of the browse handle type in the database.
8. The method for displaying a hand-held page based on point of interest recognition according to claim 3, wherein the specific calculation formula of the point of interest recognition coefficient of each hand-held page is:。
9. The method for displaying the hand-held pages based on the point of interest recognition according to claim 8, wherein the specific analysis method for displaying each hand-held page is as follows:
Sorting the interest point identification coefficients of each handy page according to descending order to obtain sorted handy pages;
Combining the reference interest point identification coefficients corresponding to the interest point identification coefficient intervals of the various handling pages stored in the database, comparing the reference interest point identification coefficients corresponding to the interest point identification coefficient intervals of the various handling pages stored in the database with the interest point identification coefficients, screening to obtain the interest point identification coefficients of the various handling pages to be referred, subtracting the interest point identification coefficients of the various handling pages to be referred from the actual interest point identification coefficients of the various handling pages to obtain the interest point identification coefficient differences of the various handling pages, performing descending processing on the interest point identification coefficient differences of the various handling pages to obtain the reordered handling interest point identification pages, and displaying.
10. A system for performing the point of interest identification based hand-held page presentation method of any one of claims 1-9, comprising:
visual plane technology detection module: according to the matching of the interest labels of the users and the labels of the handoffs, the browsing times of the history limiting version handoffs of each browsing handoffs type of each handoffs page, the browsing time of the history limiting version handoffs and the collection times of the history limiting version handoffs are counted, and the browsing interest point index of each handoffs page is analyzed;
Visual stereo technology detection module: the method comprises the steps of recording three-dimensional space of a hand-office page image of each user through a hand-office page logged in by each user to obtain three-dimensional image data of hand-office characteristics of each hand-office page image, wherein the three-dimensional image data comprise clothing fold reduction values, facial expression fine values and joint flexibility of each browsing hand-office type of each hand-office page, and further analyzing detail interest point indexes of each hand-office page;
personalized recommendation display module: based on the obtained browsing interest point index of each hand-operated page and the detail interest point index of each hand-operated page, analyzing the interest point identification coefficient of each hand-operated page, constructing the pushing content of the interest point of the personalized hand-operated page, and displaying each hand-operated page.
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