深陷
发表于 2025-3-28 16:36:30
L. G. Mundy,J. P. Mcmullin,G. A. Blakeer, and that link information is therefore useful for retrieval. Although the benefits of link information are well researched, this underlying assumption on why link evidence works remains untested, and the main aim of this paper is to do exactly that. Specifically, we use Wikipedia because it has
尽管
发表于 2025-3-28 21:06:51
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comely
发表于 2025-3-28 23:20:43
M. Tamura,S. Hayashi,J. H. Houghximates the target search results, without submitting the intended query and avoiding other exposing queries, by employing sets of queries representing more general concepts. We model the problem theoretically, and investigate the practical feasibility and effectiveness of the proposed solution with
要控制
发表于 2025-3-29 06:00:23
https://doi.org/10.1007/978-3-642-66845-6ts of topics are better for system evaluation than others: given limited resources, choosing the best subset of topics may give significantly better prediction of overall system effectiveness than (for example) choosing random subsets. Earlier experimental results are extended, with particular refer
Spongy-Bone
发表于 2025-3-29 07:16:28
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团结
发表于 2025-3-29 14:10:42
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CYT
发表于 2025-3-29 16:04:53
The Circus and Technologies of Animationengines, offering a solution to the scalability problem that hinders traditional approaches. However, crowdsourcing raises a range of questions regarding the quality of the resulting data. What indeed can be said about the quality of the data that is contributed by anonymous workers who are only pai
Anhydrous
发表于 2025-3-29 21:34:25
Engineers of Curiosity: The Barnum Erain topic such as sports matches or TV dramas are posted by users. Noticeable characteristics of microblog data are that documents are often very highly redundant and aligned on timeline. There can be thousands of documents on one event in the topic. Two very similar documents will refer to two disti
符合国情
发表于 2025-3-30 02:41:34
Katie Lavers,Jon Burtt,with Erin Balla significant challenge. Part of this challenge stems from the fact that classical collaborative filtering techniques – such as k-Nearest Neighbor – cannot be assumed to perform as well in UGCs as in other applications. Such technique has severe limitations regarding data sparsity and scalability th
Acupressure
发表于 2025-3-30 06:37:45
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