Beta 1

Title Expertise classification of recommenders in the Wikipedia Recommender System
Author Pilkauskas, Povilas
Supervisor Jensen, Christian D. (Embedded Systems Engineering, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2010
Abstract Wikipedia is a well known online encyclopedia, which is open to everyone. It is based on a collaborative authoring principle, which gives a great value to the online encyclopedia. Due to this fact the Wikipedia has over three millions articles in English. Nowadays, the speed of increasing amount of articles is getting slower, but still remains stunning. The Wikipedia attracts millions of visitors and they are allowed to read, edit or create new articles. This statement is one of the crucial statements describing Wikipedia, which has ambiguous implications. Being open to everyone, makes Wikipedia the biggest online encyclopedia on the other hand, this statement leads to some negative features on the Wikipedia: the information in the articles could suffer from blemish of integrity, erroneous facts and personal opinion propagation. Wikipedia Recommender System (WRS) is a collaborative filtering system that makes it easy to determine the quality of an article and allows users to submit the ratings and categories. WRS includes trust metrics, which allow any user to calculate a decentralized trust profile for any other user. Once the article classification was implemented into the WRS, the classification scheme started playing a vital role in determining the user`s expertise area. The user expertise is expressed by assigning different trust values to each user according to the top-level category. This helps to improve the credibility of user`s ratings and implies the enhanced quality of article. The goal of the Master thesis is to determine whether people agree about the classification of articles in the Wikipedia. To evaluate people agreement on classification of the Wikipedia articles, the survey is arranged. It investigates four different information classication schemes: Citizendium, Dewey Decimal Classication, Open Directory Project - Dmoz and top-level Wikiportals. The purpose of survey is to determine the scheme which enables people to classify articles the most consistently with the highest agreement level on it.
Imprint Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Series IMM-M.Sc.-2010-77
Original PDF ep10_77.pdf (1.07 MB)
Admin Creation date: 2010-09-14    Update date: 2010-09-14    Source: dtu    ID: 266780    Original MXD