mining the real-time web: a novel approach to product recommendation
DESCRIPTION
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 - PowerPoint PPT PresentationTRANSCRIPT
Intelligent Database Systems Lab
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
Intelligent Database Systems Lab
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