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Detecting Search Sessions Using Document Metadata and Implicit Feedback

Detecting Search Sessions Using Document Metadata and Implicit Feedback. Tom áš Kramár. Why search sessions?. Why search sessions?. Which Jaguar ?. Which Jaguar ?. Short contexts. Search sessions Encompass single search intent User’s current interests, goals, preferences. best cars.

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Detecting Search Sessions Using Document Metadata and Implicit Feedback

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  1. Detecting Search Sessions Using Document Metadata and Implicit Feedback Tomáš Kramár

  2. Why search sessions?

  3. Why search sessions?

  4. Which Jaguar?

  5. Which Jaguar?

  6. Short contexts • Search sessions • Encompass single search intent • User’s current interests, goals, preferences best cars jaguar java sockets honda IO

  7. Approaches • Temporal • Considers periods of inactivity • Lexical distance • Compares queries • Content- based • Compares features extracted from documents

  8. Approaches • Temporal • Considers periods of inactivity • WTF? • Lexical distance • Compares queries • “Information retrieval”, “IR” • Content- based • Compares features extracted from documents • Not everything is equally interesting

  9. Document metadata and implicit feedback • Match keywords of documents • Consider only documents with value of implicit feedback above the threshold • Enhance metadata with ConceptNet relations

  10. Results

  11. Observations • Low performance of raw metadata • Low quality metadata • Decreased performance of enhanced metadata • Enhancing common words with common words • Best performance of lexical + metadata • usb phonograph; l3866usb • vincov les; podhajska; velkymeder • the ills; youcoco

  12. Future work

  13. Summary • Detecting search sessions by analyzing content of visited documents • Considering implicit feedback • Best: lexical + metadata

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