Presentation 2018-06-01
QoS Prediction for Situated Service Recommendation under Rating Scarcity
Jiapeng Dai, Donghui Lin, Toru Ishida,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) With rapid growth in the number and variety of Web services, how to recommend suitable services to users becomes a big challenge. The influence of complex situation information should be considered for better service recommendation. Rating scarcity is a vital issue as it aggravates when considering more situational factors. Also, an effective approach for many situational factors is needed. To this end, we propose a two-phase QoS prediction method to tackle the two issues. Experiments on QoS data collected through a Web service platform show the improvement of our approach over several existing methods, especially under severe rating scarcity.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Service RecommendationSituation InformationRating ScarcityQoS
Paper # SC2018-6
Date of Issue 2018-05-25 (SC)

Conference Information
Committee SC
Conference Date 2018/6/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) UBIC 3D Theater, University of Aizu
Topics (in Japanese) (See Japanese page)
Topics (in English) Service Computing for the 4th Industrial Revolution and Other Issues
Chair Masahide Nakamura(Kobe Univ.)
Vice Chair Shinji Kikuchi(Univ. of Aizu) / Yoji Yamato(NTT)
Secretary Shinji Kikuchi(NEC) / Yoji Yamato(Fujitsu Lab.)

Paper Information
Registration To Technical Committee on Service Computing
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) QoS Prediction for Situated Service Recommendation under Rating Scarcity
Sub Title (in English)
Keyword(1) Service RecommendationSituation InformationRating ScarcityQoS
1st Author's Name Jiapeng Dai
1st Author's Affiliation Kyoto University(Kyoto Univ.)
2nd Author's Name Donghui Lin
2nd Author's Affiliation Kyoto University(Kyoto Univ.)
3rd Author's Name Toru Ishida
3rd Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2018-06-01
Paper # SC2018-6
Volume (vol) vol.118
Number (no) SC-72
Page pp.pp.33-36(SC),
#Pages 4
Date of Issue 2018-05-25 (SC)