GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SiteHelper: a localized agent that helps incremental exploration of the World Wide Web
Selected papers from the sixth international conference on World Wide Web
Unintrusive customization techniques for Web advertising
WWW '99 Proceedings of the eighth international conference on World Wide Web
Learning video browsing behavior and its application in the generation of video previews
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Improvements in practical aspects of optimally scheduling web advertising
Proceedings of the 11th international conference on World Wide Web
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
On the impact of sequence and time in rich media advertising
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Negotiating multimedia advertising with attention owners
Proceedings of the international conference on Multimedia
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This paper describes the development of a streaming advertisement delivery system that controls the insertion of streaming advertisements into streaming content.Conventional personalization techniques lack a time-control function for advertisement insertion, so the advertisement exposure for each user access can become excessive, much to the annoyance of viewers. This could devalue streaming content by making it less attractive.In our technique, advertisement insertion control is based on the history of each viewer. This personalization method makes it possible to maintain a balanced ratio of the advertisement length to the content length. As a result, our technique should encourage the growth of Internet streaming services and enable more effective and less intrusive advertising.