Factorization models for context-/time-aware movie recommendations

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2010
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Gantner, Zeno
Schmidt-Thieme, Lars
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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. Available under: doi: 10.1145/1869652.1869654
Zusammenfassung

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 Informatik
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context-aware recommender systems, item recommendation, temporal, tensor factorization, matrix factorization
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the Workshop, 30. Sep. 2010 - 30. Sep. 2010, Barcelona, Spain
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ISO 690GANTNER, Zeno, Steffen RENDLE, Lars SCHMIDT-THIEME, 2010. Factorization models for context-/time-aware movie recommendations. the Workshop. Barcelona, Spain, 30. Sep. 2010 - 30. Sep. 2010. In: 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. Available under: doi: 10.1145/1869652.1869654
BibTex
@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}
}
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