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Titlebook: Information Retrieval Technology; 15th Asia Informatio Fu Lee Wang,Haoran Xie,Xiaohui Tao Conference proceedings 2020 Springer Nature Switz

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楼主: ARGOT
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Context-Aware Helpfulness Prediction for Online Product Reviewstionality of a product cannot be tested before buying, people often rely on different kinds of user reviews to decide whether or not to buy a product. However, quality reviews might be buried deep in the heap of a large amount of reviews. Therefore, recommending reviews to customers based on the rev
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LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendations explore their surroundings. Due to the scarcity of check-in data, the availability of geographical information offers an opportunity to improve the accuracy of POI recommendation. Moreover, matrix factorization methods provide effective models which can be used in POI recommendation. However, ther
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On the Pluses and Minuses of Riskde a rigorous framework to compare the quality of two or more models, and determine which of them is the “better”. However, defining “better” or “best” in this context is not a simple task. Computing the average effectiveness over many queries is the most common approach used in Cranfield-style eval
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Randomised vs. Prioritised Pools for Relevance Assessments: Sample Size Considerationsthe assessors to avoid judgement bias. In contrast, an approach that has been used widely at NTCIR is to prioritise the pooled documents based on “pseudorelevance,” in the hope of letting assessors quickly form an idea as to what constitutes a relevant document and thereby judge more efficiently and
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Cross-Level Matching Model for Information Retrievalerformance to traditional models in a number of studies. However, the interactions used as the basic matching signals are between single terms or their embeddings. In reality, a term can often match a phrase or even longer segment of text. This paper proposes a Cross-Level Matching Model which enhan
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Experiments with Cross-Language Speech Retrieval for Lower-Resource Languages-best translation in such a scenario could adversely affect recall if those 1-best system guesses are not correct. Accurately representing transcription and translation probabilities could therefore improve recall, although possibly at some cost in precision. The difficulty of the task is exacerbate
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reproduce aspects of human physiology more faithfully, such as cell–cell interactions, mechanical, and microfluidic stimuli. Firstly, conventional pre-clinic drug toxicity and viral infection assays performed in 2D cells and animals will be presented against the OoC platform in the pandemic scenari
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