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Mining the real-time web: A novel approach to product recommendation

Mining the real-time web: A novel approach to product recommendation. Presenter : JHOU, YU-LIANG Authors : Barry Smyth 、 Michael P. O’Mahon Barry Smyth Sandra Garcia Esparza 2012, Knowledge-Based Systems. Outlines. Motivation Objectives Methodology Evaluation

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Mining the real-time web: A novel approach to product recommendation

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  1. Mining the real-time web: A novel approach to product recommendation Presenter : JHOU, YU-LIANGAuthors : Barry Smyth 、Michael P. O’Mahon Barry Smyth Sandra Garcia Esparza2012, Knowledge-Based Systems

  2. Outlines • Motivation • Objectives • Methodology • Evaluation • Conclusions • Comments

  3. Motivation • Recommender systems typically fall into two basic categories are collaborative filtering and content-based approaches. • However ,there are cases where neither ratings nor meta-dataare available in sufficient quantities to provide effective recommendation performance.

  4. Objectives To compare the performance of user-basedapproach with that of the community-basedapproach

  5. Methodology-Framework Index creation Recommending products

  6. Methodologyindex creation

  7. MethodologyTF-IDF

  8. MethodologyBM25

  9. Methodologyapplication

  10. Methodologyrecommending products

  11. Methodologyrecommending products

  12. Evaluation- dataset

  13. Evaluation- metrics

  14. Evaluation- Indexing result We create three variations of the product index based on using : (1) blips only(B) (2) tags only (T) (3) both blips and tags(B+T)

  15. Evaluation- Recommendation result

  16. Evaluation- Recommendation result

  17. Evaluation- Recommendation result

  18. Conclusions • The new approach outperforms a more traditional approach, also more accuracy and widely coverage.

  19. Comments • Advantages In this paper the new method is useful. Applications -Information retrieval

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