Tri Kurniawan Wijaya, Edoardo D'Amico, Gabor Fodor, Manuel V. Loureiro
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引用次数: 0
摘要
Rs4rs 是一款网络应用程序,旨在对与推荐系统相关的顶级会议和期刊的最新论文进行语义搜索。目前的学术搜索引擎工具(如 Google Scholar、Semantic Scholar 和 ResearchGate)通常会产生广泛的搜索结果,无法锁定最相关的高质量出版物。此外,手动访问各个会议和期刊网站也是一个耗时的过程,而且主要只支持句法搜索。Rs4rs 利用语义搜索技术,确保搜索结果不仅精确、相关,而且全面,无论措辞如何变化,都能捕捉到论文。该工具大大提高了研究效率和准确性,从而为研究界和公众获取推荐系统领域高质量的相关学术资源提供了便利。Rs4rs可在https://rs4rs.com。
Rs4rs: Semantically Find Recent Publications from Top Recommendation System-Related Venues
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.