Researchers investigating personalization techniques for Web Information Retrieval face a challenge; that the data required to perform evaluations, namely query logs and clickthro...
Despite recent advances in natural language question answering technology, the problem of designing effective user interfaces has been largely unexplored. We conducted a user stud...
Jimmy J. Lin, Dennis Quan, Vineet Sinha, Karun Bak...
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
To date, efforts have been made to enable visually impaired people to gain access to graphics on the Internet. However, these studies only offer a solution for a specific type of ...
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...