We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [19], we develop and imple...
Considering the time constraints and Web scale data, it is impossible to achieve absolutely complete reasoning results. Plus, the same results may not meet the diversity of user ne...
The goal of Web search personalization is to tailor search results to a particular user based on that user's interests and preferences. We present an approach to personalized...
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
This paper explores search behavior of online shoppers. Information economics literature suggests that search cost in electronic markets has essentially been reduced to zero as co...