Criteria for Cluster-Based Personalized Search
نویسندگان
چکیده
منابع مشابه
Criteria for Cluster-Based Personalized Search
We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [20], we develop and implement an efficient “local-cluster” algorithm by extending the web search algorithm of Achlioptas, Fiat, Karlin and McSherry [10]. We propose some formal criteria for evaluating such personalized ranking algorithms and p...
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We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [20], we develop and implement an efficient “local-cluster” algorithm by extending the web search algorithm of Achlioptas et al. [10]. We propose some formal criteria for evaluating such personalized ranking algorithms and provide some prelimin...
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We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [20], we develop and implement an efficient “local-cluster” algorithm by extending the web search algorithm of Achlioptas et al. [10]. We propose some formal criteria for evaluating such personalized ranking algorithms and provide some prelimin...
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With the exponentially growing amount of information available on the Internet, the task of retrieving documents of interest has become increasingly difficult. Search engines usually return more than 1,500 results per query, yet out of the top twenty results, only one half turn out to be relevant to the user. One reason for this is that Web queries are in general very short and give an incomple...
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Existing personalized web search systems does not take into account relevant pages that go unvisited by the user which might be direct answers to the user’s information need. In addition, pages in the result set though not directly relevant to the user’s information need might provide a link to relevant pages. Such links can be identified only by performing semantic analysis. This paper is aime...
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ژورنال
عنوان ژورنال: Internet Mathematics
سال: 2009
ISSN: 1542-7951,1944-9488
DOI: 10.1080/15427951.2009.10390647