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Predictive models of destinations represent an opportunity in the context of the increasing availability and sophistication of in-car driving aids. We present analyses of drivers�...
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
We present results from a field study investigating the influence of conversations on the multitasking behavior of computer users. We report on several findings, including the timi...
Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that ...
Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
Active participation of a person in a community is a powerful indicator of the person's interests, preferences, beliefs and (often) social and demographic context. Community m...
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...