The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods-Reference-Cited by-同舟云学术

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The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods

Published:2024-05-13 Issue: Volume:2009 Page:589-592
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Dolog Peter¹^ORCID,Sadikaj Ylli²^ORCID,Velaj Yllka³^ORCID,Stephan Andreas²^ORCID,Roth Benjamin⁴^ORCID,Plant Claudia³^ORCID

Affiliation:

1. Department of Computer Science, Aalborg University, Aalborg-East, Denmark

2. Faculty of Computer Science and UniVie Doctoral School Computer Science, University of Vienna, Vienna, Austria

3. Faculty of Computer Science and ds:Univie, University of Vienna, Vienna, Austria

4. Faculty of Computer Science and Faculty of Philological and Cultural Studies, University of Vienna, Vienna, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651570

Reference20 articles.

1. Multi Clustering Recommendation System for Fashion Retail

2. MindReader

3. Recommender systems based on user reviews: the state of the art

4. Deep neural review text interaction for recommendation systems;Dezfouli P. A. B.;Applied Soft Computing,2021

5. LensKit for Python: Next-Generation Software for Recommender Systems Experiments

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