Multi-Collaborative Filtering Trust Network For Online Recommendation
Nowadays, Recommendation Systems (RS) play an important role in the e-Commerce business and they have been proposed to exploit the potential of social networks by filtering information and offering useful recommendations to customers. As the personalization service is built to present the users with highly relevant set of items, the customer loyalty of the web companies can be improved. Collaborative Filtering (CF) is believed to be a suitable underlying technique for recommendation systems based on social networks, since it harvests information both from similar products and from peer users to infer a suggested item out of many for a user. M…
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Produktdetails
- ISBN: 978-3-8454-1936-7
- EAN: 9783845419367
- Produktnummer: 37394869
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 104 S.
- Masse: H22.0 cm x B15.0 cm x D0.6 cm 173 g
- Abbildungen: Paperback
- Gewicht: 173
Über den Autor
Chen Wei received her B.S. Degree from the School of Electronics Information Engineering of Beijing Jiao Tong University in 2009. In 2012 she received M.S. Degree from the Faculty of Science and Technology of the University of Macau.Lately she works on Automatic Knowledge Extraction from unstructured Open Sources system, in the area of Text Mining.
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