Recommendations as the Future of Search

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Presentation used as an introduction of a discussion panel at Telefonica during our Open Research Day 2008.

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Recommendations as the Future of Search

  1. 7. The Age of Search has come to an end <ul><ul><li>... long live the Age of Recommendation! </li></ul></ul><ul><ul><li>“ The Web, they say, is leaving the era of search and entering one of discovery. What's the difference? Search is what you do when you're looking for something. Discovery is when something wonderful that you didn't know existed, or didn't know how to ask for, finds you.” </li></ul></ul><ul><ul><ul><li>(Jeffrey M. O'Brien, CNN Money) </li></ul></ul></ul>
  2. 8. Search vs. recommendation <ul><ul><li>Is search a content-based “recommendation”? </li></ul></ul><ul><ul><ul><li>Indexing and retrieval processes = “cluster” similar documents based exclusively on content (no user information) </li></ul></ul></ul><ul><ul><li>Or a poor-man's approach to CF? </li></ul></ul><ul><ul><ul><li>Most ranking algorithms can be seen as a simplified CF => recommendation = opinion of the average user (what most people link) or the authorities (what important people link). </li></ul></ul></ul><ul><ul><ul><li>To some extent we can say that web “structure” reflects past users' behavior </li></ul></ul></ul>
  3. 9. Personalized Search <ul><ul><li>Overall trend -> Personalized user profile for better page ranking </li></ul></ul><ul><ul><ul><li>Automatic Identification of User Interest for Personalized Search (Qiu et al. WWW06) </li></ul></ul></ul><ul><ul><ul><ul><li>Improve topic-sensitive page rank by inferring topic preference vector for the user. </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Similar to content-based recommendation </li></ul></ul></ul></ul><ul><ul><ul><li>CubeSVD: A Novel Approach to Personalized Web search (Sun et al WWW05) </li></ul></ul></ul><ul><ul><ul><ul><li>LSI using HOSVD to find a score for webpages based on q,u pairs. </li></ul></ul></ul></ul><ul><ul><ul><ul><li>Very similar to CF </li></ul></ul></ul></ul>
  4. 10. Question <ul><ul><li>Are Search and Recommendation two sides of the same coin? </li></ul></ul>

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