Large-Scale, Hybrid Approaches for Recommending Web Pages Based on Content and User's Previous Click Patterns
<p> The distribution of the amount of preference information across customers is not the same in every domain of recommendation problems. It is necessary to treat each user differently based on their available preference information. In this dissertation, we have proposed three novel recommend...
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| Language: | EN |
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University of Louisiana at Lafayette
2016
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10002452 |