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Potential factors-embedding group recommendation for online education
Online education platform urgently needs recommendation methods to service learning groups. The existing group recommendation methods rely on member...
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Deep adversarial group recommendation with user feature space separation
Many online services allow users to participate in various group activities such as online meeting or group buying and thus need to provide user...
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ARCHER: a ReRAM-based accelerator for compressed recommendation systems
Modern recommendation systems are widely used in modern data centers. The random and sparse embedding lookup operations are the main performance...
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XsimGCL’s cross-layer for group recommendation using extremely simple graph contrastive learning
Group recommendation involves suggesting items or activities to a group of users based on their collective preferences or characteristics. Graph...
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Ripple Knowledge Graph Convolutional Networks for Recommendation Systems
Using knowledge graphs to assist deep learning models in making recommendation decisions has recently been proven to effectively improve the model’s...
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GroupMO: a memory-augmented meta-optimized model for group recommendation
Group recommendation aims to suggest desired items for a group of users. Existing methods can achieve inspiring results in predicting the group...
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A general tail item representation enhancement framework for sequential recommendation
Recently advancements in deep learning models have significantly facilitated the development of sequential recommender systems (SRS). However, the...
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Mitigating Spurious Correlations for Self-supervised Recommendation
Recent years have witnessed the great success of self-supervised learning (SSL) in recommendation systems. However, SSL recommender models are likely...
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Enhanced entropy based reinforcement learning hotel recommendation system
Online reviews and customer ratings are used by hotel booking service providers to assist customers in finding a hotel of interest as rapidly as they...
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Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest
Friend recommendation plays a key role in promoting user experience in online social networks (OSNs). However, existing studies usually neglect...
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Intra- and inter-association attention network-enhanced policy learning for social group recommendation
Social Group Recommendation (SGR) is a critical task to recommend items to a group of users in social network platforms, such as Meetup, Douban,...
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A proficient video recommendation framework using hybrid fuzzy C means clustering and Kullback-Leibler divergence algorithms
A video recommendation framework for e-commerce clients is proposed using the collaborative filtering (CF) process. One of the most important...
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Knowledge-aware attentional neural network for review-based movie recommendation with explanations
In this paper, we propose a knowledge-aware attentional neural network (KANN) for dealing with movie recommendation tasks by extracting knowledge...
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Quantifying effectiveness of team recommendation for collaborative software development
It is undeniable that software development is a team-based activity. The quality of the delivered product highly depends on the team configuration....
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Recommendation Systems for a Group of Users Which Recommend Recent Attention: Using Hybrid Recommendation Model
Group recommendation systems, which deliver items to a group of users, have recently received a lot of interest. Several aggregation and model group...
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Red fox optimization with ensemble recurrent neural network for crop recommendation and yield prediction model
Precision agriculture concentrates on monitoring (sensing technologies), management information system, variable rate technologies, and responses to...
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A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model
The combination of federated learning and recommender system aims to solve the privacy problems of recommendation through kee** user data locally...
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Item Recommendation on Shared Accounts Through User Identification
Nowadays, people often share their subscription accounts, e.g. online content subscription accounts, among family members and friends. It is...
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Dynamic Communities: A Novel Recommendation Approach for Individuals and Groups
As user preferences rapidly and continually evolve, it becomes crucial to incorporate these temporal dynamics in the design of recommender systems....
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Community detection algorithms for recommendation systems: techniques and metrics
In the early days of social networking, a community was typically viewed as a collection of user pro-files sharing common interests and likes. This...
