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Adaptive sentiment-aware one-class collaborative filtering

  • Published:2016-01 Issue: Volume:43 Page:23-41
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Pappas Nikolaos,Popescu-Belis Andrei

Funder

Seventh Framework Program

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference89 articles.

1. Personalized recommendation of user comments via factor models;Agarwal,2011

2. Convex AUC optimization for top-N recommendation with implicit feedback;Aiolli,2014

3. The influence of user comments on perceptions of facebook relationship status updates;Ballantine;Computers in Human Behavior,2015

4. Twitter mood predicts the stock market;Bollen;Journal of Computational Science,2011

5. Performance of recommender algorithms on top-Nrecommendation tasks;Cremonesi,2010

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1. Metadata based Cross-Domain Recommender Framework using Neighborhood Mapping;2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE);2023-12-04

2. Metadata Based Cross-Domain Recommender Framework Using Neighborhood Mapping;2023 International Conference on Sustainable Technology and Engineering (i-COSTE);2023-12-04

3. Evaluating the Performance and Accuracy of Supervised Learning Models on Sentiment Analysis of E-Wallet;2023 7th International Conference on Information Technology (InCIT);2023-11-16

4. SMAR: Summary-Aware Multi-Aspect Recommendation;Neurocomputing;2023-10

5. An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets;PeerJ Computer Science;2023-08-25
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