A New Approach to Organizing Search Results for People Search
Date Issued
2006
Date
2006
Author(s)
Chi, Szu-Yuan
DOI
en-US
Abstract
Web search engines are one of the most important interfaces to the Internet which has grown into a collection of billions of web pages. Due to the ambiguities in the queries and documents, search engines return lots of irrelevant pages. In the case of searching for people names, we may receive web pages of different people with the same name.
In this thesis we present a new approach to organize search results for people search, such that the search results in each cluster belong to the same person. To cluster the search results we first extract key phrases from search results, then use key phrases as a feature to cluster search results. To present information in clusters to user, we label clusters with categories and key phrases. The output is clusters of search results, with names and categories labeled, such that the search results in each cluster relate to the same person.
The experiments results show that using key phrases as feature to clustering do perform better than only using n-gram (n<=2) as feature. However, the overall performance is not satisfying. In the final section, we make conclusion and propose some future work.
Subjects
人名搜尋
關鍵片語擷取
分群
分類
people search
key phrase extraction
clustering
classification
web
Type
other
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