Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
This paper describes a technique for making personalized recommendations from any type of database to a user based on similarities between the interest pro le of that user and tho...
The paper is concerned with the problem of question recommendation. Specifically, given a question as query, we are to retrieve and rank other questions according to their likelih...
This paper presents an architecture that helps users to collect and qualify meta-information about web resources within a weblog and then share them with a group of people. Our arc...
Inquiry learning involves the learner acquiring new concepts and skills by means of carrying out an investigation. Some previous studies have looked into how these learning activit...