Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries
作者： C. Porcel , E. Herrera-Viedma
DOI: 10.1016/J.KNOSYS.2009.07.007
关键词:
摘要: As in the Web, growing of information is main problem academic digital libraries. Thus, similar tools could be applied university libraries to facilitate access by students and teachers. In [46] we presented a fuzzy linguistic recommender system advice research resources The this that user profiles are provided directly own users process for acquiring preferences quite difficult because it requires too much effort. paper present new facilitates acquisition characterize profiles. We allow provide their means incomplete preference relation. include manage when express preferences, and, such way, show improved.
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