mining the real-time web: a novel approach to product recommendation

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Presenter : JHOU, YU-LIANG

Authors : Barry Smyth 、 Michael P. O’Mahon

Barry Smyth Sandra Garcia Esparza

2012, Knowledge-Based Systems

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

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OutlinesMotivationObjectivesMethodology EvaluationConclusionsComments

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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-data

are available in sufficient quantities to provide effective

recommendation performance.

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ObjectivesTo compare the performance of user-based approach with that of the community-based approach

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Methodology-Framework

Index creation

Recommending products

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Methodology index creation

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Methodology TF-IDF

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MethodologyBM25

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Methodology application

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Methodologyrecommending products

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Methodologyrecommending products

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Evaluation- dataset

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Evaluation- metrics

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Evaluation- Indexing resultWe 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)

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Evaluation- Recommendation result

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Evaluation- Recommendation result

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Evaluation- Recommendation result

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Conclusions• The new approach outperforms a more traditional

approach, also more accuracy and widely coverage.

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