TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling-Reference-Cited by-同舟云学术

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TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling

Published:2011-12 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE 11th International Conference on Data Mining
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Author:

Kim Younghoon,Shim Kyuseok

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6135855/6137189/06137238.pdf?arnumber=6137238

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Incorporating LDA with LSTM for followee recommendation on Twitter network;International Journal of Web Information Systems;2021-06-14

3. Hybrid microblog recommendation with heterogeneous features using deep neural network;Expert Systems with Applications;2021-04

4. A personalized recommendation algorithm based on large-scale real micro-blog data;Neural Computing and Applications;2020-06-15

5. Discerning Influence Patterns with Beta-Poisson Factorization in Microblogging Environments;IEEE Transactions on Knowledge and Data Engineering;2020-06-01

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