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Conference Papers Year : 2012

Contextual Trace-Based Video Recommendations


People like creating their own videos by mixing various contents. Many applications allow us to generate video clips by merging different media like videos clips, photos, text and sounds. Some of these applications enable us to combine online content with our own resources. Given the large amount of content available, the problem is to quickly find content that truly meet our needs. This is when recommender systems come in. In this paper, we propose an approach for contextual video recommendations based on a TraceBased Reasoning approach.
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hal-01352981 , version 1 (10-08-2016)



Raafat Zarka, Amélie Cordier, Elod Egyed-Zsigmond, Alain Mille. Contextual Trace-Based Video Recommendations. 21st international conference companion on World Wide Web (WWW-XperienceWeb'12), Apr 2012, Lyon, France, France. pp.751-754, ⟨10.1145/2187980.2188196⟩. ⟨hal-01352981⟩
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