Margarita Karkali, Dimitris Pontikis, M. Vazirgiannis
{"title":"Match the news: a firefox extension for real-time news recommendation","authors":"Margarita Karkali, Dimitris Pontikis, M. Vazirgiannis","doi":"10.1145/2484028.2484208","DOIUrl":null,"url":null,"abstract":"We present Match the News, a browser extension for real time news recommendation. Our extension works on the client side to recommend in real time recently published articles that are relevant to the web page the user is currently visiting. Match the News is fed from Google News RSS and applies syntactic matching to find the relevant articles. We implement an innovative weighting function to perform the keyword extraction task, BM25H. With BM25H we extract keywords not only relevant to currently browsed web page, but also novel with respect to the user's recent browsing history. The novelty feature in keyword extraction task results in meaningful news recommendations with regards to the web page the users currently visits. Moreover the extension offers a salient visualization of the terms corresponding to the users recent browsing history making thus the extension a comprehensive tool for real time news recommendation and self assessment.","PeriodicalId":178818,"journal":{"name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2484028.2484208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
We present Match the News, a browser extension for real time news recommendation. Our extension works on the client side to recommend in real time recently published articles that are relevant to the web page the user is currently visiting. Match the News is fed from Google News RSS and applies syntactic matching to find the relevant articles. We implement an innovative weighting function to perform the keyword extraction task, BM25H. With BM25H we extract keywords not only relevant to currently browsed web page, but also novel with respect to the user's recent browsing history. The novelty feature in keyword extraction task results in meaningful news recommendations with regards to the web page the users currently visits. Moreover the extension offers a salient visualization of the terms corresponding to the users recent browsing history making thus the extension a comprehensive tool for real time news recommendation and self assessment.
我们现在匹配的新闻，实时新闻推荐的浏览器扩展。我们的扩展工作在客户端实时推荐最近发表的文章是相关的网页用户目前正在访问。Match the News从Google News RSS提供，并应用语法匹配来查找相关文章。我们实现了一个创新的加权函数来执行关键字提取任务，BM25H。使用BM25H，我们提取的关键字不仅与当前浏览的网页相关，而且与用户最近的浏览历史有关。关键字提取任务中的新颖性功能会对用户当前访问的网页产生有意义的新闻推荐。此外，扩展提供了与用户最近浏览历史相对应的显著可视化术语，从而使扩展成为实时新闻推荐和自我评估的综合工具。
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
