2013 IEEE International Conference on Services Computing 2013
DOI: 10.1109/scc.2013.69
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Interest-Driven Web Service Recommendation Based on MFI-7

Abstract: Composing and reusing services is the main advantage of Service Oriented Software Engineering (SOSE). Faced with the large amount of Web services which are available on World Wide Web, how to select and recommend suitable Web services becomes a key issue in service computing. The most popular service recommendation technique is QoS-based Collaborate Filtering (CF) with user-service QoS matrix. However, it cannot well capture the new interests of users and handle the cold start problem. In this paper we propose… Show more

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Cited by 5 publications
(2 citation statements)
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References 23 publications
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“…Zhang et al, 2013). The main objective of our approach is to recommend top-N services more accurately and practically.…”
Section: Datasetmentioning
confidence: 99%
See 1 more Smart Citation
“…Zhang et al, 2013). The main objective of our approach is to recommend top-N services more accurately and practically.…”
Section: Datasetmentioning
confidence: 99%
“…Service recommender systems intend to recommend services according to user's preference and profile, so it is helpful for service users or service consumers to select appropriate services in a large space of possible options with a personalized way (X. Zhang, He, Wang, Li, & Liu, 2013).…”
Section: Introductionmentioning
confidence: 99%