Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems

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Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems

Recommender system (RS) plays an important role in helping users find the information they are interested in and providing accurate personality recommendation. It has been found that among all the users, there are some user groups called “core users” or “information core” whose historical behavior d...

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Bibliographic Details
Main Authors:	Mu, Caihong, Cheng, Huiwen, Feng, Wei, Liu, Yi, Qu, Rong
Format:	Conference or Workshop Item
Published:	2017
Subjects:	evolutionary algorithm elite population recommender system core users
Online Access:	https://eprints.nottingham.ac.uk/46488/

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