ARGOT 发表于 2025-3-21 17:55:22
书目名称Information Retrieval Technology影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0465213<br><br> <br><br>书目名称Information Retrieval Technology读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0465213<br><br> <br><br>粘土 发表于 2025-3-21 23:16:15
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Conference proceedings 2020er 2019..The 14 full papers presented together with 3 short papers were carefully reviewed and selected from 27 submissions. The scope of the conference covers applications, systems, technologies and theory aspects of information retrieval in text, audio, image, video and .multimedia data. .GNAW 发表于 2025-3-22 16:52:09
Towards Automatic Evaluation of Reused Answers in Community Question Answeringo other questions ., where . serves as an answer to .. While previous work evaluated this task by manually annotating the relationship between . and ., this approach does not scale for large-scale CQA sites. We therefore explore an automatic evaluation method for reused answer retrieval, which compuparoxysm 发表于 2025-3-22 17:32:32
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Arc Loss: Softmax with Additive Angular Margin for Answer Retrievals (i.e., pairwise ranking loss) for a meaningful distributed representation. Triplet loss is widely used to push away a negative answer from a certain question in a feature space and leads to a better understanding of the relationship between questions and answers. However, triplet loss is inefficiecollateral 发表于 2025-3-23 09:19:29
Context-Aware Collaborative Rankingvide users high-quality personalized services. Collaborative filtering (CF) is a promising technique to ensure the accuracy of a recommender system, which can be divided into specific tasks such as rating prediction and item ranking. However, there is a larger volume of published works studying the