Rabia Nuray-Turan

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Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, we employ new methods for automatic ranking of retrieval systems. In these methods, we merge the retrieval results of multiple systems using various data fusion algorithms, use the(More)
Measuring the information retrieval effectiveness of World Wide Web search engines is costly because of human relevance judgments involved. However, both for business enterprises and people it is important to know the most effective Web search engines, since such search engines help their users find higher number of relevant Web pages with less effort.(More)
Nowadays, searches for Webpages of a person with a given name constitute a notable fraction of queries to web search engines. Such a query would normally return Webpages related to several namesakes, who happened to have the queried name, leaving the burden of disambiguating and collecting pages relevant to a particular person (from among the namesakes) on(More)
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(More)
In this paper we develop a disambiguation algorithm and then study its impact on People Search. The proposed algorithm first uses extraction techniques to automatically extract `significant' entities such as the names of other persons, organizations, and locations on each Web page. In addition, it extracts and parses HTML and Web related data on each Web(More)
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 result often contains webpages 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(More)
Searching for people on the Web is one of the most common query types submitted to 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(More)
Nowadays many data mining/analysis applications use the graph analysis techniques for decision making. Many of these techniques are based on the importance of relationships among the interacting units. A number of models and measures that analyze the relationship importance (link structure) have been proposed (e.g., centrality, importance and page rank) and(More)
Modern data processing techniques such as entity resolution, data cleaning, information extraction, and automated tagging often produce results consisting of objects whose attributes may contain uncertainty. This uncertainty is frequently captured in the form of a set of multiple mutually exclusive value choices for each uncertain attribute along with a(More)