Aggregating Subjective Measure of Web Search Quality with PageRank (original) (raw)

2006, Information and Knowledge Engineering

Web Searching is one of the most popular activities on Internet. But as a number of search engines are available, there must be some procedure to evaluate them. In this paper, we present an effort in this regard. We intend to develop an evaluation system for web search results. We are taking into the consideration the "satisfaction" user gets when presented with search results. The feedback of the user is inferred from watching the actions of the user on the search results presented before him in response to his query. The implicit ranking given by the user is then compared with the original ranking given by the search engine and correlation coefficient is obtained. Then, parsing of URLs of websearch results is performed and PageRank is computed. Thus, we get a new ranking of the documents based on the PageRank. This ranking is also compared with the original ranking given by the search engine and correlation coefficient thus obtained is averaged with that obtained using user feedback. We repeat our procedure for a set of queries. We show our experimental results pertaining to seven public search engines and fifteen queries.

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