Context-aware video recommendation by mining users' view preferences based on access points

Jiaming Zhang, Yipeng Zhou, Di Wu, Chunfeng Yang

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

2 Citations (Scopus)

Abstract

With the astronomical growth of online video population, the video recommendation system is crucial for users to locate videos fitting their interests. The collaborative filtering (CF) realizing personalized recommendation by analyzing users' historical view records is currently the most prevalent algorithm adopted by existing systems. Nevertheless, video recommendation performance can be improved for most cases, particularly the one with cold-start problem, if additional information is involved. In this article, we propose an AP-based Context-Aware (APCA) recommendation scheme on top of the traditional factor-based CF algorithm by utilizing the information of access points which has not been explored yet by existing works. The underlying principle is that users' view preferences are expected to be different with different contexts, e.g., hotel, home, public areas, which can be inferred by mining the information of access points via which users launch video requests. With the data collected from Tencent Video, a leading online video provider in China, we present a measurement study to show user view preferences in different contexts before our APCA algorithm is introduced. Experiments are executed driven by the trace data collected from Tencent Video to validate the effectiveness of our scheme in improving recommendation performance.
Original languageEnglish
Title of host publicationProceedings of the 27th Workshop on Network and Operating Systems Support for Digital Audio and Video
PublisherAssociation for Computing Machinery (ACM)
Pages37-42
Number of pages6
ISBN (Electronic)9781450350037
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event27th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2017 - Taipei, Taiwan, Province of China
Duration: 20 Jun 201723 Jun 2017

Conference

Conference27th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2017
CountryTaiwan, Province of China
CityTaipei
Period20/06/1723/06/17

Keywords

  • context-aware video recommendation
  • post-fi€ltering
  • clustering
  • Context-aware video recommendation
  • Post-filtering
  • Clustering

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