Relevancy rankings : pay for performance search engines in the hot seat

• Main Authors: Goh, Dion Hoe-Lian, Ang, Rebecca P.
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Article
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
• Online Access: https://hdl.handle.net/10356/91700; http://hdl.handle.net/10220/6171
• Institution: Nanyang Technological University

Pay for performance (PFP) search engines provide search services for documents on the Web but unlike “traditional” search engines, they rank documents not on content characteristics but according to the amount of money the owner of a Web site is willing to pay if a user visits the Web site through the search results pages. A study was conducted to compare the retrieval effectiveness of Overture (a PFP search engine) and Google (a traditional search engine) using a test suite of general knowledge questions. Forty-five queries based on a popular game show “Who Wants to be a Millionaire” were submitted to each of these search engines and the first 10 documents returned were analyzed using different relevancy criteria. Results indicated that Google outperformed Overture in terms of precision and number of queries that could be answered. Implications for this study are also discussed.