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.

翻译：Rs4rs是一款针对推荐系统领域顶级会议与期刊最新论文进行语义检索的Web应用程序。当前学术搜索引擎工具（如Google Scholar、Semantic Scholar和ResearchGate）通常返回过于宽泛的结果，难以精准定位最相关的高质量文献。此外，手动访问各会议与期刊网站的过程耗时且主要支持语法层面的检索。Rs4rs通过提供用户友好的平台解决了这些问题，研究人员可输入感兴趣的主题，即可获取来自推荐系统顶级学术平台的最新相关论文列表。借助语义检索技术，Rs4rs确保搜索结果不仅精确相关，且具有全面性，能够捕捉表述方式各异的文献。该工具显著提升了研究效率与准确性，通过促进推荐系统领域高质量相关学术资源的获取，使研究社群与公众受益。Rs4rs可通过https://rs4rs.com访问。