Bi-Labeled LDA: Inferring Interest Tags for Non-famous Users in Social Network
Abstract User tags in social network are valuable information for many applications such as Web search, recommender systems and online advertising. Thus, extracting high quality tags to capture user interest has attracted many researchers’ study in recent years. Most previous studies inferred users’...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-11-01
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Series: | Data Science and Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1007/s41019-019-00113-0 |