Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"relevance judgments"”.
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A Theory for the Measurement of Internet Information Retrieval
… to be the subjectivity of the concept of relevance. In cyberspace, information scientists are using quantitative measurement models for evaluating information retrieval performance that are based on the Cranfield model. This research modified this model by incorporating enduser relevance …
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Estudo comparativo de julgamentos de relevância do usuário e não-usuário de serviços de disseminação seletiva da informação
User and non-user relevance judgments, of a group of documents in the field of nuclear energy, were compared Assessments of relevance were done by document titles. The effectiveness of titles in determining relecance or non-relevance of documents was onservedAssessments of relevance were done by …
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Exploring the applicability of implicit relevance measures in varying reading speed for adaptive I.R. systems
… and electrodermal activity to indicate perceived relevance is found intrinsically dependent on speed of reading. That is, when users read at comfortable reading speed, these measures are found to be able to correctly discriminate relevance judgments, but fail when increasing the addressed speed of …
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The Effect of Personality Type on the Use of Relevance Criteria for Purposes of Selecting Information Sources.
… information scientists generally recognize that relevance judgments are multidimensional and dynamic, there is still discussion and debate regarding the degree to which certain internal (cognition, personality) and external (situation, social relationships) factors affect the use of criteria in …
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A study of language models for exploiting user feedback in Information Retrieval
… accuracy and achieving personalization. Relevance feedback has been studied extensively, and in recent years new types of feedback such as implicit feedback and collective feedback have attracted much research interest. However, there are not many works exploring language modeling …
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Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search
… ranking quality hashing codes by utilizing the relevance judgments from users. The hashing code/function is learned via optimizing a commonly used non-smooth non-convex ranking measure, NDCG. Finally, we deal with the problem of insufficient supervision by active learning. We propose to actively …
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Building query-based relevance sets without human intervention
… set of documents, a set of topics, and a set of relevance assessments which is a list indicating the relevance of each document to each topic. Traditionally, forming the relevance assessments is done manually by human judges. But in large scale environments, such as the web, examining each …