01618nas a2200133   4500008004100000245011300041210006900154300001500223490000700238520104000245100002101285700002201306856015601328       2010                        eng d00aNoun Retrieval Effect on Text Summarization and Delivery of Personalized News Articles to the User's Desktop0 aNoun Retrieval Effect on Text Summarization and Delivery of Pers  a 664 - 6770 v693 a<p>Text summarization and categorization, as well as personalization of the results, have always been some of the most demanding information retrieval tasks. Deploying a generalized, multi-functional mechanism that produces good results for the aforementioned tasks seems to be a panacea for most of the text-based, information retrieval needs. In this article, we present the keyword extraction techniques, exploring the effects that part of speech tagging has on the summarization procedure of an existing system. Moreover, we describe the profiling features that are used as an extension to an already constructed news indexing system, PeRSSonal. We are thus enhancing the personalization algorithm that the system utilizes with various features derived from the user?s profile, such as the list of viewed articles and the time spent on them. In addition, we analyze the system?s interconnection channels that are used with the client-side desktop application that was developed and we evaluate the approaches that we propose.</p>
1 aBouras, Christos1 aTsogkas, Vassilis  uhttp://telematics.upatras.gr/telematics/publications/noun-retrieval-effect-text-summarization-and-delivery-personalized-news-articles-users?language=el