An new method to collaborative filtering recommendation based on DBN and HMM
The main problems of collaborative filtering are initial rating, data sparsity and recommendation in time. A recommendation approach based on HMM model, which creates nearest neighbour set by simulating the user behaviours of web browsing, is a good way to solve the above problems. However, the HMM...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2016-01-01
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Series: | MATEC Web of Conferences |
Subjects: | |
Online Access: | http://dx.doi.org/10.1051/matecconf/20164401091 |