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Understanding user query intent is a crucial task to Question-Answering area. With the development of online health services, online health communities generate huge amount of valuable medical Question-Answering data, where user intention can be mined. However, the queries posted by common users have many domain concepts and colloquial expressions, which make the understanding of user intents very...
Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, for many tasks, paired training data will not be available. We present an approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples...
Non-functional property is of paramount importance for Web services to function. However, service selection with consideration of Quality of Service is a challenge. This paper presents an approach to service selection by measuring the similarity between the web service publication and the service request. We identify five tendencies of the nonfunctional dimensions in the service requests, and present...
Query suggestion algorithms, which aim to suggest a set of similar but independent queries to users, have been widely studied to simplify user searches. However, in many cases, the users will accomplish their search tasks through a sequence of search behaviors instead of by one single query, which may make the classical query suggestion algorithms fail to satisfy end users in terms of task completion...
With a rapid growth of the Internet, exploring cost-effective and time-efficient methods for creating Internet services has become critical. As an emerging technology, service aggregation has been regarded as a promising candidate. However, it also raises serious issues on privacy management, as a service is usually provided by multiple providers that are usually transparent to its users. We observe...
Previous multikeyword search in DHT-based P2P systems often relies on multiple single keyword search operations, suffering from unacceptable traffic cost and poor accuracy. Precomputing term-set-based index can significantly reduce the cost but needs exponentially growing index size. Based on our observations that 1) queries are typically short and 2) users usually have limited interests, we propose...
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