An information gain-based approach for recommending useful product reviews

Author:

Zhang Richong,Tran Thomas

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Cited by 46 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

1. KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs;ACM Transactions on Recommender Systems;2023-11-16

2. A gateway toward truly responsive customers: using the uplift modeling to increase the performance of a B2B marketing campaign;Journal of Marketing Analytics;2023-09-21

3. Understanding Context of Use from Online Customer Reviews using BERT;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20

4. Ranking the Customer Reviews from Mobile Commerce Big data: K means Clustering;2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2022-04-23

5. Can reviews predict reviewers’ numerical ratings? The underlying mechanisms of customers’ decisions to rate products using Latent Dirichlet Allocation (LDA);Journal of Consumer Marketing;2022-02-01

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