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A framework for diversifying recommendation lists by user interest expansion
Recommender systems have been widely used to discover users’ preferences and recommend interesting items to users during this age of information load. Researchers in the field of recommender systems have realized that the quality of a top-N recommendation list involves not only relevance but also di...
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| Publicado no: | Knowl Based Syst |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5613956/ https://ncbi.nlm.nih.gov/pubmed/28959089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.knosys.2016.05.010 |
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