Santos et al., 2010 - Google Patents
Explicit search result diversification through sub-queriesSantos et al., 2010
View PDF- Document ID
- 6721457273763432464
- Author
- Santos R
- Peng J
- Macdonald C
- Ounis I
- Publication year
- Publication venue
- European conference on information retrieval
External Links
Snippet
Queries submitted to a retrieval system are often ambiguous. In such a situation, a sensible strategy is to diversify the ranking of results to be retrieved, in the hope that users will find at least one of these results to be relevant to their information need. In this paper, we introduce …
- 238000000034 method 0 description 10
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/30707—Clustering or classification into predefined classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Santos et al. | Explicit search result diversification through sub-queries | |
| Greene et al. | How many topics? stability analysis for topic models | |
| Nanopoulos et al. | Musicbox: Personalized music recommendation based on cubic analysis of social tags | |
| Santos et al. | Exploiting query reformulations for web search result diversification | |
| Kywe et al. | On recommending hashtags in twitter networks | |
| Bi et al. | Inferring the demographics of search users: Social data meets search queries | |
| Zhou et al. | Routing questions to the right users in online communities | |
| Zhou et al. | Improving search via personalized query expansion using social media | |
| Prusa et al. | Using random undersampling to alleviate class imbalance on tweet sentiment data | |
| US7617176B2 (en) | Query-based snippet clustering for search result grouping | |
| Zhou et al. | Exploring social annotations for information retrieval | |
| Chen et al. | Machine learning techniques for business blog search and mining | |
| Aslay et al. | Competition-based networks for expert finding | |
| Yu et al. | Latent dirichlet allocation based diversified retrieval for e-commerce search | |
| CN105917364A (en) | Ranking discussion threads in Q&A forums | |
| Elsafty et al. | Document-based recommender system for job postings using dense representations | |
| Zhang et al. | QuestionHolic: Hot topic discovery and trend analysis in community question answering systems | |
| Vargas et al. | Selecting effective expansion terms for diversity. | |
| Minack et al. | Current Approaches to Search Result Diversification. | |
| KR101249183B1 (en) | Method for extracting subject and sorting document of searching engine, computer readable record medium on which program for executing method is recorded | |
| Santamaría et al. | Wikipedia as sense inventory to improve diversity in web search results | |
| Zhang et al. | Dish comment summarization based on bilateral topic analysis | |
| Onal et al. | Utilizing word embeddings for result diversification in tweet search | |
| Rahimi et al. | Building a multi-domain comparable corpus using a learning to rank method | |
| Kubatz et al. | LocalRank-Neighborhood-based, fast computation of tag recommendations |