Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics-Reference-Cited by-同舟云学术

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Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics

Published:2024-06-22 Issue: Volume: Page:201-211
ISSN:
Container-title:Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Rosnes Daniel¹^ORCID,Starke Alain D.²^ORCID,Trattner Christoph³^ORCID

Affiliation:

1. Department of Information Science and Media Studies, University of Bergen, Norway

2. Amsterdam School of Communication Research, University of Amsterdam, Netherlands and MediaFutures, University of Bergen, Norway

3. MediaFutures, University of Bergen, Norway

Funder

Research Council of Norway

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627043.3659560

Reference37 articles.

1. Stemming and Lemmatization: A Comparison of Retrieval Performances

2. Measuring semantic similarity between words using web search engines

3. Tuning Word2vec for Large Scale Recommendation Systems

4. A case study of behavior-driven conjoint analysis on Yahoo!

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