We investigate the subtle cues to user identity that may be exploited in attacks on the privacy of users in web search query logs. We study the application of simple classifiers ...
Personalization is one of the important research issues in the areas of information retrieval and Web search. Providing personalized services that are tailored toward the specific...
Ka Cheung Sia, Shenghuo Zhu, Yun Chi, Koji Hino, B...
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
In this paper we address the problem of analyzing web log data collected at a typical online newspaper site. We propose a two-way clustering technique based on probability theory....
Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petr...
We performed several experiments using a Personal Digital Assistant (PDA) as an input device in the nondominant hand along with a mouse in the dominant hand. A PDA is a small hand...