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Hogenboom et al., 2013 - Google Patents

News recommendation using semantics with the Bing-SF-IDF approach

Hogenboom et al., 2013

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Document ID
7937477375667977842
Author
Hogenboom F
Capelle M
Moerland M
Publication year
Publication venue
International Conference on Conceptual Modeling

External Links

Snippet

Traditionally, content-based news recommendation is performed by means of the cosine similarity and the TF-IDF weighting scheme for terms occurring in news messages and user profiles. Semantics-driven variants like SF-IDF additionally take into account term meaning …
Continue reading at frederikhogenboom.nl (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
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    • 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
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