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Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation [article]

Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li
2019 arXiv   pre-print
This paper proposes Medley of Sub-Attention Networks (MoSAN), a new novel neural architecture for the group recommendation task.  ...  Group-level recommendation is known to be a challenging task, in which intricate group dynamics have to be considered.  ...  Model-based approaches [1, 18, 29, 33] for group recommendation are also notable.  ... 
arXiv:1804.04327v5 fatcat:zwphn43eujdcdguvb2ejcp7yei

Dynamic Group Recommendation Based on the Attention Mechanism

Haiyan Xu, Yanhui Ding, Jing Sun, Kun Zhao, Yuanjian Chen
2019 Future Internet  
Therefore, in this paper, a dynamic recommendation method based on the attention mechanism is proposed.  ...  The purpose of group recommendation is to provide recommendations to group users, such as recommending a movie to several friends.  ...  Group recommendation methods based on the attention mechanism were respectively applied to them.  ... 
doi:10.3390/fi11090198 fatcat:76thhphxcfcado3gr2rmrxbdju

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation [article]

Peipei Wang, Lin Li, Yi Yu, Guandong Xu
2019 arXiv   pre-print
SIAGR (short for "Social Influence-based Attentive Group Recommendation"), which takes attention mechanisms and the popular method (BERT) as the aggregation representation for group profile modeling.  ...  To tackle the issue of preference aggregation for group recommendation, we propose a novel attentive aggregation representation learning method based on sociological theory for group recommendation, namely  ...  recommendation, namely SIAGR, short for Social Influence-based Attentive Group Recommendation, to address the problem of group recommendation task under representation learning framework.  ... 
arXiv:1909.01079v1 fatcat:752a5smw4rboxgoq7antwtbmnm

Leveraging Social Relationship-Based Graph Attention Model for Group Event Recommendation

Guoqiong Liao, Xiaobin Deng, Amr Tolba
2020 Wireless Communications and Mobile Computing  
In this paper, inspired by the graph neural network and attention mechanism, we propose a novel recommendation model named leveraging social relationship-based graph attention model (SRGAM) for group event  ...  Furthermore, we use an attention mechanism to fuse multiple user vectors in a group, so as to generate a high-level group latent vector for rating prediction.  ...  the attention mechanism and reduces the recommendation effect. 5. 2 .Figure 5 : 25 Group Recommendation Based on the Graph Model.  ... 
doi:10.1155/2020/8834450 fatcat:nmzdnokiqjhh5lys6ubciys6ru

Softwarized Attention-Based Context-Aware Group Recommendation Technology in Event-Based Industrial Cyber-Physical Systems

Guoqiong Liao, Xiaomei Huang, Naixue Xiong, Changxuan Wan, Mingsong Mao
2021 IEEE Transactions on Industrial Informatics  
In this paper, we propose an Attention-based Context-aware Group Event Recommendation model (ACGER) in EICPSs.  ...  To obtain the indirect preference, we propose a method of aggregating preferences based on attention mechanism.  ...  CONCLUSION AND FUTURE WORK In this paper, we study an Attention-based Context-aware Group Event Recommendation model (ACGER) for EICPSs.  ... 
doi:10.1109/tii.2021.3054364 fatcat:u7bu2lvpo5fs5j2jd7gql2nbki

Using Graph Neural Networks for Program Termination [article]

Yoav Alon, Cristina David
2022 arXiv   pre-print
Overall, we designed and implemented classifiers for program termination based on Graph Convolutional Networks and Graph Attention Networks, as well as a semantic segmentation Graph Neural Network that  ...  To further assist programmers in understanding and debugging nontermination bugs, we adapt the notions of attention and semantic segmentation, previously used for other application domains, to programs  ...  [61] focused on attention weights that allow to prioritize the influence of features based on self-learned attention.  ... 
arXiv:2207.14648v1 fatcat:nqnggy5rhjcqzngggguqwmqfsy

Group Recommendation via Self-Attention and Collaborative Metric Learning Model

Haiyan Wang, Yuliang Li, Felix Frimpong
2019 IEEE Access  
Group recommendation is finally implemented based on the obtained metric space.  ...  Group recommendation has attracted wide attention owing to its significance in real applications.  ...  FIGURE 3 . 3 Group preference aggregation process based on self-attention mechanism. FIGURE 4 . 4 Group recommendation principle based on CML.  ... 
doi:10.1109/access.2019.2953176 fatcat:etgzm2updrc63mtszvcyvvxvwa

An Intelligent Group Event Recommendation System in Social networks [article]

Guoqiong Liao, Xiaomei Huang, Neal N. Xiong, Changxuan Wan
2020 arXiv   pre-print
In this paper, we propose an Attention-based Context-aware Group Event Recommendation model (ACGER) in EBSNs.  ...  However, most existing group recommendation models in Event-Based Social Networks (EBSNs) focus on how to aggregate group members' preferences to form group preferences.  ...  CONCLUSION AND FUTURE WORK In this paper, we study an Attention-based Context-aware Group Event Recommendation model (ACGER) for EBSNs.  ... 
arXiv:2006.08893v1 fatcat:rcpu2gssjjeevd5pa4chjkp4lu

Deep Reinforcement Learning based Group Recommender System [article]

Zefang Liu, Shuran Wen, Yinzhu Quan
2021 arXiv   pre-print
Group recommender systems are widely used in current web applications. In this paper, we propose a novel group recommender system based on the deep reinforcement learning.  ...  The framework of our novel model, the Deep Reinforcement learning based Group Recommender system (DRGR), is proposed.  ...  The first baseline is the Attentive Group Recommendation (AGREE) [1] model, and its GitHub repository is Attentive-Group-Recommendation 4 .  ... 
arXiv:2106.06900v1 fatcat:ume6xwhd6zgbjew4z75fp5m2zu

Attentive Geo-Social Group Recommendation [article]

Fei Yu, Feiyi Fan, Shouxu Jiang, Kaiping Zheng
2019 arXiv   pre-print
In this paper, a novel group recommendation method, called attentive geo-social group recommendation, is proposed to recommend the target user with both activity locations and a group of users that may  ...  For recommendations based on social activities, it is vital to have not only the activity information but also individuals' social relations.  ...  Based on the premises, we utilize the attention mechanism to evaluate the u T 's decision-making power in the group.  ... 
arXiv:1911.05466v2 fatcat:fky2yrr33vhgjjtuq4v3eq6fyy

Network Course Recommendation System Based on Double-Layer Attention Mechanism

Qianyao Zhu, Le Sun
2021 Scientific Programming  
The recommendation results are classified according to the weight of course categories, so as to construct different types of course groups and complete the recommendation.  ...  attention mechanism is proposed.  ...  based on the double-layer attention mechanism is proposed.  ... 
doi:10.1155/2021/7613511 fatcat:3fnaqjthbjec7p5anpgvz4vn4y

Evidence-Based Cognitive Rehabilitation: Updated Review of the Literature From 2003 Through 2008

Keith D. Cicerone, Donna M. Langenbahn, Cynthia Braden, James F. Malec, Kathleen Kalmar, Michael Fraas, Thomas Felicetti, Linda Laatsch, J. Preston Harley, Thomas Bergquist, Joanne Azulay, Joshua Cantor (+1 others)
2011 Archives of Physical Medicine and Rehabilitation  
Objective: To update our clinical recommendations for cognitive rehabilitation of people with traumatic brain injury (TBI) and stroke, based on a systematic review of the literature from 2003 through 2008  ...  Evidence within each area of intervention was synthesized and recommendations for Practice Standards, Practice Guidelines, and Practice Options were made.  ...  Practice Option Group-based interventions may be considered for remediation of memory deficits after TBI.  ... 
doi:10.1016/j.apmr.2010.11.015 pmid:21440699 fatcat:2rjsxlq4tbf3xc5qi5kx2b3rau

Investor Inattention and the Underreaction to Stock Recommendations

Roger K. Loh
2010 Financial Management  
Abnormal Returns of Portfolios Sorted by Alternative Attention Proxies Each day, firms that experience recommendation changes are sorted into two groups based on alternative attention proxies.  ...  into two groups based on their average residual daily turnover [-63, -2] days from the recommendation date.  ... 
doi:10.1111/j.1755-053x.2010.01110.x fatcat:dirkamiyrvecxijl2pjkjwrhfa

Overcoming Data Sparsity in Group Recommendation [article]

Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou
2020 arXiv   pre-print
mechanism to represent groups based on the group members.  ...  In this paper, we propose a novel end-to-end group recommender system named CAGR (short for Centrality Aware Group Recommender"), which takes Bipartite Graph Embedding Model (BGEM), the self-attention  ...  group recommendations based on the group profile or representation.  ... 
arXiv:2010.00813v1 fatcat:bkob7w4vejcj5pgrw5hxpbacri

Evaluating facial recognition services as interaction technique for recommender systems

Toon De Pessemier, Ine Coppens, Luc Martens
2020 Multimedia tools and applications  
During video watching, implicit feedback for the video content is automatically gathered through emotion recognition, attention measurements, and behavior analysis.  ...  For recommender systems, user authentication and feedback gathering are of crucial importance.  ...  The group profile is used to generate recommendations for interesting content items for the group based on the users' historical viewing activities and their preferences.  ... 
doi:10.1007/s11042-020-09061-8 fatcat:d4t6q3wdwbhhtnyj3a2jlyxsgy
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