Tag and Bibliography Recommendations for Collaborative Research Systems
Date Issued
2008
Date
2008
Author(s)
Shen, Yu-Chung
Abstract
Collaborative research systems recently have grown in popularity on the web that allow users to collaborate on organizing and sharing bibliography online. Since it is difficult for users to categorize bibliography, especially in some professional way, e.g. the ACM computation classification, nowadays the most important feature provided by collaborative research systems is that they support tagging mechanisms so that users can easily and freely define their favorite keywords to organize bibliography. Although tagging is a simple and popular process for organizing bibliography, sometimes users still have difficulties to tag a bibliography if they are not familiar with it. Besides, if the bibliography collections in a collaborative research system have grown to a large amount, users will spend more and more time on finding bibliography in which they are interested. n the thesis, we proposed a tag recommendation mechanism which can suggests tags to help users organize their bibliography, besides, we proposed two bibliography recommendation mechanisms, Tag Match and Tag-based CF, to recommend users bibliography they may be interested in. We conduct an experiment using the dataset clawed from CiteULike to show that the tag and bibliography recommendation mechanisms developed in this work are simple and feasible.
Subjects
bibliography recommendations
tag recommendations
recommendation system
collaborative filtering
tag
collaborative research systems
Type
thesis
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