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Rs4rs: Semantically Find Recent Publications from Top Recommendation System-Related Venues

  • ACM Conference on Recommender Systems
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Paper overview

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Rs4rs is a web application designed to perform semantic search on recent papers from top conferences and journals related to Recommender Systems. Current scholarly search engine tools like Google Scholar, Semantic Scholar, and ResearchGate often yield broad results that fail to target the most relevant high-quality publications. Moreover, manually visiting individual conference and journal websites is a time-consuming process that primarily supports only syntactic searches. Rs4rs addresses these issues by providing a user-friendly platform where researchers can input their topic of interest and receive a list of recent, relevant papers from top Recommender Systems venues. Utilizing semantic search techniques, Rs4rs ensures that the search results are not only precise and relevant but also comprehensive, capturing papers regardless of variations in wording. This tool significantly enhances research efficiency and accuracy, thereby benefitting the research community and public by facilitating access to high-quality, pertinent academic resources in the field of Recommender Systems. Rs4rs is available at https://rs4rs.com.

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Publication details

DOI
10.1145/3640457.3691696
arXiv
2409.05570
Semantic Scholar
2927ea37b29fd009249cef23f53f4d6b523951fc
Document type
JournalArticle
Source
ACM Conference on Recommender Systems
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