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Content-based movie recommending using a Triple Wing Harmonium model

  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A content-based movie recommender by using a Triple Wing Harmonium (TWH) model is proposed. TWH integrates text metadata into a low dimensional semantic space. movie synopsis, actor list and user comments are considered as the text metadata. A new TWH model is developed by projecting these multiple textual features into low dimensional latent topics. We have used a contrastive divergence algorithm for efficient learning and inference. Experimental results show that the proposed method performs better than the state-of-the-art content-based algorithms for movie recommendation.

Original languageEnglish
Title of host publicationProceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1096-1101
Number of pages6
ISBN (Electronic)9781479966493
DOIs
StatePublished - 28 Sep 2015
Externally publishedYes
Event13th International Conference on Industrial Informatics, INDIN 2015 - Cambridge, United Kingdom
Duration: 22 Jul 201524 Jul 2015

Publication series

NameProceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015

Conference

Conference13th International Conference on Industrial Informatics, INDIN 2015
Country/TerritoryUnited Kingdom
CityCambridge
Period22/07/1524/07/15

Keywords

  • Harmonium model
  • content-based
  • movie recommending

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