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Improving Reliability of Web 2.0-based Rating Systems Using Per-user Trustiness
|Creators||YuHsin Shih (Academia Sinica), LingJyh Chen (Academia Sinica), ChunYang Chen (Academia Sinica)|
|License||GNU Free Documentation License (details)|
|About the creators|
Ling-Jyh Chen was born in Taipei, Taiwan. He received the B.Ed. degree in information and computer education from National Taiwan Normal University in 1998, and the M.S. and Ph.D. degrees in computer science from University of California at Los Angeles in 2002 and 2005 respectively. He joined the Institute of Information Science as assistant research fellow in 2005. His research interests are wireless personal area networks, network protocols, Internet measurements, and ubiquitous computing. For more information, please visit http://www.iis.sinica.edu.tw/~cclljj/
Chun-Yang Chen (previously known as Kuan-Ta Chen) received his B.S. and M.S. in Computer Science from National Tsing Hua University in 1998 and 2000, respectively. He received his Ph.D. in Electrical Engineering from National Taiwan University in 2006. Since then he joined the Institute of Information Science, Academia Sinica as an assistant research fellow. His research interests include multimedia networking, Internet measurement, network security, and multimedia networking. For more information, please visit http://www.iis.sinica.edu.tw/~cychen/.
|The rating system is the key for the success of the emerging Web 2.0 systems in that not only does it help the audience identify the merit of each Web 2.0 document, but it also provides incentives for participants to continue contributing to the system. However, the reliability of the rating system is vulnerable when there are uncooperative users in the system (e.g., bad mouthing or ballot stuffing). Tackling this issue, we in this paper propose a simple yet practical solution for Web 2.0-based rating systems. More precisely, in addition to aggregating rating results from all reviewers, the proposed scheme also takes into account the trustiness of each user while aggregating, and thereby significantly improves the overall reliability of the rating system.
The full paper can be found at: http://nrl.iis.sinica.edu.tw/~cclljj/07_Wikimania_CWV.pdf