WSRec: A Collaborative Filtering Based Web Service Recommender System
By Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King. IEEE International Conference on Web Services, 2009
528 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/35f95faec9ba87e9ea4dcf0d5b23a30be0743983
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In Computer Networks and Communications
In Information Systems
Citations in the corpus
- Collaborative reliability prediction of service-oriented systems (2010, methodology): “To take advantages of these collected data, this paper applies the collaborative filtering techniques [2, 18, 25, 39] to attack the challenging research problem of reliability prediction of service-oriented systems.”
- QoS-Aware Web Service Recommendation via Collaborative Filtering (2014, background): “The most analyzed examples of memory-based collaborative filtering include user-based approaches [3, 10, 14], item-based approaches [8, 17, 27], and their fusion [37, 31].”
- QoS Ranking Prediction for Cloud Services (2013, background): “The most analyzed examples of memory-based collaborative filtering include user-based approaches [4], [9], item-based approaches [7], [11], [16], and their fusion [13], [16], [17], [22], [23].”
- Distributed QoS Evaluation for Real-World Web Services (2010, background): “In the field of service computing [17], a lot of QoS driven approaches have been proposed for Web service selection [8, 4, 5, 15], optimal service composition [2, 3, 5, 16], fault tolerant Web services [7, 19], Web service recommendation [21], Web service reliability prediction [20], and so on.”
- Temporal QoS-aware web service recommendation via non-negative tensor factorization (2014, methodology): “Neighborhood-based method computes the similarity between users or items to make recommendation, which can be divided into two types: user-based nearest neighbor and item-based nearest neighbor [31].”