Antigen
发表于 2025-3-26 23:28:56
ds; (2) Both the added and the deleted terms in a reformulation step can be influenced by the clicked results to a greater extent than the skipped ones; (3) Users’ specification actions are more likely to be inspired by the result snippets or the landing pages, while the generalization behaviors are
Androgen
发表于 2025-3-27 04:15:41
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hedonic
发表于 2025-3-27 08:45:51
Sigrid Neubertealth informatics. Incre- ingly, these accounts go beyond hardware and software to address the roleof information in in?uencing the transformation of healthcare delivery systems around the world. The series also increasingly focuses on “peopleware” and the organi- tional, behavioral, and societal ch
Amorous
发表于 2025-3-27 10:25:06
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预测
发表于 2025-3-27 16:13:22
Leonie Manhardtser behavior sequences based on item IDs. However, this kind of approach highly relies on user-item interaction data and neglects the attribute- or characteristic-level correlations among similar items preferred by a user. In light of these issues, we propose ., which stands for .-.gnostic User Beha
完成
发表于 2025-3-27 19:09:34
Edward R. Fordncies relevant to named entities. Recently, graph convolutional neural networks have shown great potential in supporting this task, wherein dependency trees are usually adopted to learn semantic dependencies between entities. However, the requirement of external toolkits to parse sentences poses a p
Kaleidoscope
发表于 2025-3-27 23:12:57
Wilfried Wiegandsuccessfully applied to feature learning of graph structured data. However, most of the existing graph representation learning methods does not consider the latent hierarchical structure of the data. They mainly focus on high-dimensional Euclidean space for learning. Recent studies have shown that g
Alcove
发表于 2025-3-28 04:24:45
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持久
发表于 2025-3-28 06:32:12
Winfried NerdingerTraditional term based retrieval methods like BM25 deal with the problem based on Bag-of-Words (BoW) representation, thus they only focus on exact matching (i.e., syntactic) and lack the consideration for semantically related words. That causes the typical vocabulary mismatch problem and the reducti
竞选运动
发表于 2025-3-28 11:39:18
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