Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation

Author:

Peña Francisco J.1,O'Reilly-Morgan Diarmuid1,Tragos Elias Z.1,Hurley Neil1,Duriakova Erika1,Smyth Barry2,Lawlor Aonghus3

Affiliation:

1. Insight Centre for Data Analytics University College Dublin, Ireland

2. Computer Science University College Dublin, Ireland

3. University College Dublin, Ireland

Funder

Science Foundation Ireland

Publisher

ACM

Cited by 17 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. Tagging Items with Emerging Tags: A Neural Topic Model Based Few-Shot Learning Approach;ACM Transactions on Information Systems;2024-03-22

2. Exploiting deep transformer models in textual review based recommender systems;Expert Systems with Applications;2024-01

3. A Survey on Review - Aware Recommendation Systems;Proceedings of the 29th Brazilian Symposium on Multimedia and the Web;2023-10-23

4. Estimating and Evaluating the Uncertainty of Rating Predictions and Top-n Recommendations in Recommender Systems;ACM Transactions on Recommender Systems;2023-04-24

5. Recommendation Uncertainty in Implicit Feedback Recommender Systems;Communications in Computer and Information Science;2023

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