Factorization models for context-/time-aware movie recommendations
Factorization models for context-/time-aware movie recommendations
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2010
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Proceedings of the Workshop on Context-Aware Movie Recommendation - CAMRa '10. - New York, New York, USA : ACM Press, 2010. - pp. 14-19. - ISBN 978-1-4503-0258-6
Abstract
In the scope of the Challenge on Context-aware Movie Recommendation (CAMRa2010), context can mean temporal context (Task 1), mood (Task 2), or social context (Task 3). We suggest to use Pairwise Interaction Tensor Factorization (PITF), a method used for personalized tag recommendation, to model the temporal (week) context in Task 1 of the challenge. We also present an extended version of PITF that handles the week context in a smoother way. In the experiments, we compare PITF against different item recommendation baselines that do not take context into account, and a non-personalized context-aware baseline.
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004 Computer Science
Keywords
context-aware recommender systems,item recommendation,temporal,tensor factorization,matrix factorization
Conference
the Workshop, Sep 30, 2010 - Sep 30, 2010, Barcelona, Spain
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GANTNER, Zeno, Steffen RENDLE, Lars SCHMIDT-THIEME, 2010. Factorization models for context-/time-aware movie recommendations. the Workshop. Barcelona, Spain, Sep 30, 2010 - Sep 30, 2010. In: Proceedings of the Workshop on Context-Aware Movie Recommendation - CAMRa '10. New York, New York, USA:ACM Press, pp. 14-19. ISBN 978-1-4503-0258-6. Available under: doi: 10.1145/1869652.1869654BibTex
@inproceedings{Gantner2010Facto-12683, year={2010}, doi={10.1145/1869652.1869654}, title={Factorization models for context-/time-aware movie recommendations}, isbn={978-1-4503-0258-6}, publisher={ACM Press}, address={New York, New York, USA}, booktitle={Proceedings of the Workshop on Context-Aware Movie Recommendation - CAMRa '10}, pages={14--19}, author={Gantner, Zeno and Rendle, Steffen and Schmidt-Thieme, Lars} }
RDF
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