Full metadata record
DC FieldValueLanguage
dc.contributor.authorYang, Tzu-Weien_US
dc.contributor.authorShih, Wen-Yuahen_US
dc.contributor.authorHuang, Jiun-Longen_US
dc.contributor.authorTing, Wei-Chihen_US
dc.contributor.authorLiu, Pin-Chuanen_US
dc.date.accessioned2015-07-21T08:31:26Z-
dc.date.available2015-07-21T08:31:26Z-
dc.date.issued2013-01-01en_US
dc.identifier.isbn978-1-4799-2528-5en_US
dc.identifier.issn2376-6816en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TAAI.2013.46en_US
dc.identifier.urihttp://hdl.handle.net/11536/125131-
dc.description.abstractWith the advances of video streaming technology, live streaming services also become more and more popular. However, there may be thousands of online channels at the same time, and most viewers are not willing to go through one by one for finding the channels they are interested in. In view of this, we propose a hybrid preference-aware recommendation algorithm to recommend channels to viewers. We use logs of a live streaming service, Twitch.tv, to measure the performance of our algorithm and other existing algorithms, and experimental results show that the accuracy of our algorithm is higher than those of other algorithms.en_US
dc.language.isoen_USen_US
dc.subjectrecommender systemen_US
dc.subjectlive streaming serviceen_US
dc.subjectpersonal preferenceen_US
dc.titleA Hybrid Preference-Aware Recommendation Algorithm for Live Streaming Channelsen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/TAAI.2013.46en_US
dc.identifier.journal2013 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI)en_US
dc.citation.spage188en_US
dc.citation.epage193en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000353341700032en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper