An impact of time and item influencer in collaborative filtering recommendations using graph-based model
Recommender Systems deal with the issue of overloading information by retrieving the most relevant sources in the wide range of web services. They help users by predicting their interests in many domains like e-government, social networks, e-commerce and entertainment. Collaborative Filtering (CF) i...
| الحاوية / القاعدة: | Information Processing and Management |
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| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Elsevier Ltd
2019
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059583017&doi=10.1016%2fj.ipm.2018.12.007&partnerID=40&md5=dce8d529651821a14ef99b43025efdd0 |