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Titlebook: Information Retrieval Technology; 11th Asia Informatio Guido Zuccon,Shlomo Geva,Peng Zhang Conference proceedings 2015 Springer Internation

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Knowledge-Based Query Expansion in Real-Time Microblog Searchr severely from the vocabulary mismatch problem such that they cannot yield good performance in the context of microblogosphere. To address this critical challenge, in this paper, we propose a new language modeling approach for microblog retrieval by inferring various types of context information. I
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Quality-Aware Review Selection Based on Product Feature Taxonomylume of online reviews proliferates, there is an insistent demand to help users in tackling the information overload problem. A considerable amount of research has addressed the problem of extracting useful information from overwhelming reviews; among the proposed approaches we remind review summari
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An Author Subject Topic Model for Expert Recommendationnce between the Author Topic (AT) model and the AST model is that the AST model introduces an additional supervised “Subject” layer. The additional supervised layer of AST allows subjects to be shared across authors and group documents under various topic distributions, rather than only grouping doc
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Detecting Automatically-Generated Arabic Tweets can be easily abused to spread spam and hinder information extraction applications by posting lots of automatically-generated tweets that occupy a good portion of the continuous stream of tweets. This problem heavily affects users in the Arab region due to the recent developing political events as
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