Titlebook: Information Retrieval Technology; 14th Asia Informatio Yuen-Hsien Tseng,Tetsuya Sakai,Zhi-Hong Chen Conference proceedings 2018 Springer Na

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Missing Data Modeling with User Activity and Item Popularity in RecommendationHowever, only a few interactions between users and items can be observed in implicit data. The missing of a user-item entry is caused by two reasons: the user didn’t see the item (in most cases); or the user saw but disliked it. Separating these two cases leads to modeling missing interactions at a

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Guiding Approximate Text Classification Rules via Context Informationch approximate rules are able to conduct classification at a general level, they are not effective for handling diverse and specific situations for a particular category. Given a set of approximate rules and a moderate amount of labeled data, existing incremental text classification learning models

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Key Terms Guided Expansion for Verbose Queries in Medical Domainmal performance since the current search engine promotes the results covering every query term, but not the truly important ones. Key term extraction has been studied to solve this problem, but another problem, i.e., vocabulary gap between query and documents, need to be discussed. Although various

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processes of offline social reproduction anddiscusses how the positive social and political aspects of Facebook can beenhanced. The findings contribute to academic discussions in the fields ofcultural studies a978-94-6300-211-0