@MASTERSTHESIS\{IMM2011-06141, author = "M. Mihaila", title = "Addressing the Cold Start Problem in the Wikipedia Recommender System through Content-Based Filtering", year = "2011", school = "Technical University of Denmark, {DTU} Informatics, {E-}mail: reception@imm.dtu.dk", address = "Asmussens Alle, Building 305, {DK-}2800 Kgs. Lyngby, Denmark", type = "", note = "Supervised by Associate Professor Christian Damsgaard Jensen, cdj@imm.dtu.dk, {DTU} Informatics", url = "http://www.imm.dtu.dk/English.aspx", abstract = "Wikipedia is a free online encyclopaedia that can be edited by anyone. Despite its large number of contributors and articles, the qualification of the authors, as well as the quality of the contribution they generate, cannot be easily assessed. Wikipedia Recommender System is a collaborative filtering system used to determine the quality of Wikipedia articles based on user ratings. Being a collaborative filtering system, {WRS} is affected by the cold start problem. The cold start problem is a phenomenon that occurs when there is not enough data for the system to function correctly. New users of {WRS} do not receive article ratings until they start interacting with the system and have a trust profile. The current project addresses this problem by using WikiTrust article rating. WikiTrust is a system that calculates the rating of an article by determining and computing the trust value of its words. In this system, the words’ trust level is proportional to their authors trust. Authors gain trust by making changes that last over multiple reviews. The goal is to use the WikiTrust article reputation for calculating the {WRS} trust level in those cases when {WRS} does not have enough information to determine a good trust estimation of the article quality. While the main purpose is to address the cold start problem, incorporating WikiTrust reputation into {WRS} trust calculation could potentially increase {WRS}’s overall trust level accuracy. The current project will investigate the advantages and disadvantages of integrating the two systems, {WRS} and WikiTrust, and will attempt to determine the best formula to use the latter for improving the current system performance." }