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Web based commercial recommender systems (RS) can help users to make decisions about which product to purchase from the vast amount of products available on the Internet. Currently, many commercial recommender systems are developed for recommending frequently purchased products where a large amount of explicit ratings or purchase history data is available to predict user preferences. However, for...
We present a new interface for exploring and navigating large-scale discussions on the internet. Our system, tldr, focuses on three primary user goals: finding, navigating and filtering content based on the users' own relevance criteria. We employ a progressive design approach that combines user research from the popular web site Reddit.com and visualizations from existing discussion data. Based on...
Blog is becoming more and more popular with the rapid development of Internet. It needs to find an automatic way to distinguish the blog pages from ordinary Web pages for the content extraction of blog pages and the blog community discovered. Some basic concepts and ideas in the area of blog was described in this paper, and a method on the blog pages identification is proposed, which is based on the...
Intrusive Web advertising such as pop-ups and animated layer ads, which distract the user from reading or navigating through the main content of Web pages, is being perceived as annoying by an increasing number of users. As a response to the growing amount of extraneous content on today's Web and due to the lack of regulations imposed on abusive advertisers the author discusses the pros and cons of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.