TY - GEN
T1 - User reputation evaluation using co-occurrence feature and collective intelligence
AU - Cha, Jeong Won
AU - Lee, Hyun Woo
AU - Han, Yo Sub
AU - Kim, Laehyun
PY - 2009
Y1 - 2009
N2 - It becomes more difficult to find valuable contents in the Web 2.0 environment since lots of inexperienced users provide many unorganized contents. In the previous researches, people has proved that non-text information such as the number of references, the number of supports, and the length of answers is effective to evaluate answers to a question in a online QnA service site. However, these features can be changed easily by users and cannot reflect social activity of users. In this paper, we propose a new method to evaluate user reputation using co-occurrence features between question and answers, and collective intelligence. If we are able to calculate user reputation, then we can estimate the worth of contents that has small number of reference and small number of support. We compute the user reputation using a modified PageRank algorithm. The experiment results show that our proposed method is effective and useful for identifying such contents.
AB - It becomes more difficult to find valuable contents in the Web 2.0 environment since lots of inexperienced users provide many unorganized contents. In the previous researches, people has proved that non-text information such as the number of references, the number of supports, and the length of answers is effective to evaluate answers to a question in a online QnA service site. However, these features can be changed easily by users and cannot reflect social activity of users. In this paper, we propose a new method to evaluate user reputation using co-occurrence features between question and answers, and collective intelligence. If we are able to calculate user reputation, then we can estimate the worth of contents that has small number of reference and small number of support. We compute the user reputation using a modified PageRank algorithm. The experiment results show that our proposed method is effective and useful for identifying such contents.
UR - http://www.scopus.com/inward/record.url?scp=76649122807&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76649122807&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02774-1_33
DO - 10.1007/978-3-642-02774-1_33
M3 - Conference contribution
AN - SCOPUS:76649122807
SN - 3642027733
SN - 9783642027734
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 305
EP - 311
BT - Online Communities and Social Computing - Third International Conference, OCSC 2009, Held as Part of HCI International 2009, Proceedings
T2 - 3rd International Conference on Online Communities and Social Computing, OCSC 2009. Held as Part of HCI International 2009
Y2 - 19 July 2009 through 24 July 2009
ER -