A two-Phase method of qos prediction for situated service recommendation

Jiapeng Dai, Donghui Lin, Toru Ishida

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

With the rapid growth of Web services, recommending suitable services to users has become a big challenge. The existing service recommendation works by Quality of Service (QoS) prediction fail to fully consider the influence of situation information, such as time, location, and user relations thoroughly. Two issues must be resolved to consider situation information: issue one, rating scarcity, is that there are less data to learn when importing more situations; issue two is that an effective approach is needed to adapt many situational factors. Our solution is a two-phase method: first, to overcome rating scarcity, data is augmented with estimations of unknown QoS values by learning from observable factors. The augmented data is then used to learn the important latent factors associated with the situational factors for QoS prediction. Experiments on data of real service invocations in different situations show improvement of our method in terms of QoS prediction accuracy over several existing methods, especially in the severe rating scarcity condition. In addition, analysis on parameter selection of proposed method can further assist in obtaining better QoS prediction in practical use.

元の言語English
ホスト出版物のタイトルProceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services
出版者Institute of Electrical and Electronics Engineers Inc.
ページ137-144
ページ数8
ISBN(印刷物)9781538672501
DOI
出版物ステータスPublished - 2018 9 5
外部発表Yes
イベント2018 IEEE International Conference on Services Computing, SCC 2018 - San Francisco, United States
継続期間: 2018 7 22018 7 7

出版物シリーズ

名前Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services

Conference

Conference2018 IEEE International Conference on Services Computing, SCC 2018
United States
San Francisco
期間18/7/218/7/7

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

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  • これを引用

    Dai, J., Lin, D., & Ishida, T. (2018). A two-Phase method of qos prediction for situated service recommendation. : Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services (pp. 137-144). [8456411] (Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCC.2018.00025