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Titlebook: Web Information Systems and Technologies; 16th International C Massimo Marchiori,Francisco José Domínguez Mayo,Jo Conference proceedings 20

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21#
發(fā)表于 2025-3-25 03:55:04 | 只看該作者
22#
發(fā)表于 2025-3-25 09:57:39 | 只看該作者
,Semantic Label Representations with?Lbl2Vec: A Similarity-Based Approach for?Unsupervised Text Clasbing the respective classes to create semantic label representations. For classification, Lbl2Vec uses cosine similarities between label and document representations, but no annotation information. We show that Lbl2Vec significantly outperforms common unsupervised text classification approaches and
23#
發(fā)表于 2025-3-25 12:30:38 | 只看該作者
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發(fā)表于 2025-3-25 17:13:00 | 只看該作者
25#
發(fā)表于 2025-3-25 22:14:54 | 只看該作者
,An Adaptive Filter for?Preference Fine-Tuning in?Recommender Systems,tem or the change of user preferences. When those failed recommendations appear often in the system, the users may consider that the recommender system is not able to capture the user preference. This can result in abandoning to further use the recommender system. However, given the possible failed
26#
發(fā)表于 2025-3-26 03:16:24 | 只看該作者
Indonesia Government and Social Networks: Response Analysis About Food Security During COVID-19 Pan of research is qualitative, using a literature study approach. Finding in this study, the food security agency dominates the response content on Twitter compared to the logistics affairs agency. This answers that the food security agency has a fairly broad scope of duties compared to the logistics
27#
發(fā)表于 2025-3-26 05:07:12 | 只看該作者
,An Adaptive Filter for?Preference Fine-Tuning in?Recommender Systems,tem or the change of user preferences. When those failed recommendations appear often in the system, the users may consider that the recommender system is not able to capture the user preference. This can result in abandoning to further use the recommender system. However, given the possible failed
28#
發(fā)表于 2025-3-26 10:55:20 | 只看該作者
,LDViz: A Tool to?Assist the?Multidimensional Exploration of?SPARQL Endpoints,t decision-making processes in various application domains. In this context, data visualization plays a decisive role in making sense of the large volumes of data created every day and in effectively communicating structures, processes, and trends in data in an accessible way. In this paper, we pres
29#
發(fā)表于 2025-3-26 14:59:23 | 只看該作者
30#
發(fā)表于 2025-3-26 17:31:39 | 只看該作者
,LDViz: A Tool to?Assist the?Multidimensional Exploration of?SPARQL Endpoints,t decision-making processes in various application domains. In this context, data visualization plays a decisive role in making sense of the large volumes of data created every day and in effectively communicating structures, processes, and trends in data in an accessible way. In this paper, we pres
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