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Information Filtering via Biased Random Walk on Coupled Social Network
The recommender systems have advanced a great deal in the past two decades. However, most researchers focus their attentions on mining the similarities among users or objects in recommender systems and overlook the social influence which plays an important role in users' purchase process. In th...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi Publishing Corporation
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4132410/ https://ncbi.nlm.nih.gov/pubmed/25147867 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/829137 |
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