||Expertise classification of recommenders in the Wikipedia Recommender System
||Jensen, Christian D. (Embedded Systems Engineering, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
||Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
||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.
||Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Creation date: 2010-09-14
Update date: 2010-09-14