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ClickRank: Learning Session-Context Models to Enrich Web Search Ranking
User browsing information, particularly non-search-related activity, reveals important contextual information on the preferences and intents of Web users. In this article, we demonstrate the importance of mining general Web user behavior data to improve ...
Identifying Web Spam with the Wisdom of the Crowds
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam-detection techniques are usually designed for specific, known types of Web spam and are incapable of dealing with newly appearing spam types ...
Crawling Ajax-Based Web Applications through Dynamic Analysis of User Interface State Changes
Using JavaScript and dynamic DOM manipulation on the client side of Web applications is becoming a widespread approach for achieving rich interactivity and responsiveness in modern Web applications. At the same time, such techniques---collectively known ...
Quality and Leniency in Online Collaborative Rating Systems
The emerging trend of social information processing has resulted in Web users’ increased reliance on user-generated content contributed by others for information searching and decision making. Rating scores, a form of user-generated content contributed ...
