万能
发表于 2025-3-21 17:38:10
书目名称Knowledge Science, Engineering and Management影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0544059<br><br> <br><br>书目名称Knowledge Science, Engineering and Management读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0544059<br><br> <br><br>
FLAG
发表于 2025-3-21 22:18:37
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网络添麻烦
发表于 2025-3-22 00:34:28
Parameter Optimization and Weights Assessment for Evidential Artificial Immune Recognition Systemical elements. They achieved a big success in the area of machine learning. Nevertheless, the majority of AIRS versions does not take into account the effect of uncertainty related to the classification process. Managing uncertainty is undoubtedly among the fundamental challenges in real-world class
indigenous
发表于 2025-3-22 06:28:54
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概观
发表于 2025-3-22 12:02:19
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Itinerant
发表于 2025-3-22 16:02:05
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendationcommendation task. Most existing methods based on Markov Chains or deep learning architecture have demonstrated their superiority in sequential recommendation scenario, but they have not been well-studied at a range of problems: First, the influence strength of items that the user just access might
START
发表于 2025-3-22 17:38:00
Time-Aware Attentive Neural Network for News Recommendation with Long- and Short-Term User Representtations is a challenging task in news recommendation. Existing methods usually utilize recurrent neural networks to capture the short-term user interests, and have achieved promising performance. However, existing methods ignore the user interest drifts caused by time interval in the short session.
易发怒
发表于 2025-3-22 22:48:47
A Time Interval Aware Approach for Session-Based Social Recommendationtheir interests to enhance the activeness and retention of users. Besides, their interests change from time to time. Session-based recommendation divides users’ interaction history into sessions and predict users’ behaviors with the context information in each session. It’s essential but challenging
moratorium
发表于 2025-3-23 04:08:39
AutoIDL: Automated Imbalanced Data Learning via Collaborative Filteringthods usually ignore the intrinsic imbalance nature of most real-world datasets and lead to poor performance. For handling imbalanced data, sampling methods have been widely used since their independence of the used algorithms. We propose a method named AutoIDL for selecting the sampling methods as
保守
发表于 2025-3-23 06:59:07
Fusion of Domain Knowledge and Text Features for Query Expansion in Citation Recommendationortant for literature reviewing, literature-based discovery and a wide range of applications. In this paper, we propose a query expansion framework via fusing domain-specific knowledge and text features for academic citation recommendation. Starting from an original query, domain-specific and contex