Titlebook: Information Retrieval Technology; 13th Asia Informatio Won-Kyung Sung,Hanmin Jung,Seungbock Lee Conference proceedings 2017 Springer Intern

激勵(lì)

Daniel Locke,Guido Zuccon,Harrisen Scells of movement imposed by European countries. The European experience with restrictions on freedom of movement has been incredibly diverse and mixed. In this way, we can see that many EU Member States not only decided to close their external borders and suspend the freedoms linked to the Schengen area

流出

cing, that is, keeping distance between people in public spaces and decreasing the number of social contacts, was one of the first health-related measures that were introduced in March–April 2020 in most countries. However, the strictness of these measures, as well as government’s understanding of h

anchor

單色

A Boosted Supervised Semantic Indexing for Rerankingngs represented by vectors and reranks documents according to a similarity defined with the word embeddings as in Latent Semantic Indexing (LSI) and Supervised Semantic Indexing (SSI). Compared with LSI and SSI, our method uses top-. irrelevant documents of a relevant document of each query for trai

Neutropenia

要塞

Learning2extract for Medical Domain Retrievals, especially for the complicated cases. Even though they could manually input the queries, it is not an easy task because queries are expected to include enough information about the patients. Therefore, the queries tend to be verbose. However, those verbose queries may not work well since the sear

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治愈

厚臉皮

Fast Exact Algorithm to Solve Continuous Similarity Search for Evolving Queries of . sets of items, the purpose of this problem is to maintain the top-. most similar sets to the query which evolves over time and consists of the latest . items in the data stream. For this problem, the previous exact algorithm adopts a pruning strategy which, at the present time ., decides the c

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