Towards breaking the quality curse.: a web-querying approach to web people search

Searching for people on the Web is one of the most common query types to the web search engines today. However, when a person name is queried, the returned webpages often contain documents related to several distinct namesakes who have the queried name. The task of disambiguating and finding the webpages related to the specific person of interest is left to the user. Many Web People Search (WePS) approaches have been developed recently that attempt to automate this disambiguation process. Nevertheless, the disambiguation quality of these techniques leaves a major room for improvement. This paper presents a new serverside WePS approach. It is based on collecting co-occurrence information from the Web and thus it uses the Web as an external data source. A skyline-based classification technique is developed for classifying the collected co-occurrence information in order to make clustering decisions. The clustering technique is specifically designed to (a) handle the dominance that exist...

• Type: Journal
• Year: 2008
• Where: SIGIR
• Authors: Dmitri V. Kalashnikov, Rabia Nuray-Turan, Sharad Mehrotra
• Keywords: Co-occurrence Information, Common Query Types, Information Technology, SIGIR 2008, Web Search Engines