Towards semantic and affective content-based video recommendation

Taiga Yoshida, Go Irie, Hiroyuki Arai, Yukinobu Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Content-based recommendation is a popular framework for video recommendation, where the videos recommended are selected according to content similarity. Aiming at providing semantically similar videos to those already viewed by the user, most existing methods measure video similarity from tags or semantics-oriented features of videos. However, effective recommendations can also be based on affective content, which might be more significantly correlated to users' tastes and moods. We propose to combine semantic and affective information of videos which can be effectively extracted from tags and audio-visual features of videos, respectively. While individual features may not be sufficient to capture the full spectrum of users' tastes, our approach processes users' logs and applies a boosting strategy to learn a strong similarity fusion function. We conduct experiments to evaluate the performance of our method and the results show that our method successfully improves the performance of content-based recommendation.

Original languageEnglish
Title of host publicationElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
DOIs
Publication statusPublished - 29 Nov 2013
Event2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 - San Jose, CA, United States
Duration: 15 Jul 201319 Jul 2013

Publication series

NameElectronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013

Conference

Conference2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
CountryUnited States
CitySan Jose, CA
Period15/07/1319/07/13

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Keywords

  • audio-visual features
  • content-based video recommendation
  • feature similarity fusion
  • tags

Cite this

Yoshida, T., Irie, G., Arai, H., & Taniguchi, Y. (2013). Towards semantic and affective content-based video recommendation. In Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 [6618331] (Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013). https://doi.org/10.1109/ICMEW.2013.6618331