A two‐phase knowledge distillation model for graph convolutional network‐based recommendation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22819
Abstract: Graph convolutional network (GCN)‐based recommendation has recently attracted significant attention in the recommender system community. Although current studies propose various GCNs to improve recommendation performance, existing methods suffer from two main limitations. First, user–item interaction… read more here.
Keywords: distillation; recommendation; knowledge distillation; model ... See more keywords
Feature requests-based recommendation of software refactorings
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DOI: 10.1007/s10664-020-09871-2
Abstract: Software requirements are ever-changing which often leads to software evolution. Consequently, throughout software lifetime, developers receive new requirements often expressed as feature requests. To implement the requested features, developers sometimes apply refactorings to make their… read more here.
Keywords: recommendation software; based recommendation; feature requests; requests based ... See more keywords
Profile based recommendation of code reviewers
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DOI: 10.1007/s10844-017-0484-1
Abstract: Code reviews consist in proof-reading proposed code changes in order to find their shortcomings such as bugs, insufficient test coverage or misused design patterns. Code reviews are conducted before merging submitted changes into the main… read more here.
Keywords: based recommendation; code reviewers; code; profile based ... See more keywords
A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks
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DOI: 10.1109/access.2018.2877208
Abstract: In the era of big data, recommender system (RS) has become an effective information filtering tool that alleviates information overload for Web users. Collaborative filtering (CF), as one of the most successful recommendation techniques, has… read more here.
Keywords: collaborative filtering; recommendation; based recommendation; information ... See more keywords
From Data Analysis to Intent-based Recommendation: an Industrial Case Study in the Video Domain
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DOI: 10.1109/access.2022.3148434
Abstract: This work presents a comprehensive study, from an industrial perspective, of the process between the collection of raw data, and the generation of next-item recommendation, in the domain of Video-on-Demand (VoD). Most research papers focus… read more here.
Keywords: intent based; recommendation; domain; based recommendation ... See more keywords
Learning Sequential General Pattern and Dependency via Hybrid Neural Model for Session-Based Recommendation
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DOI: 10.1109/access.2022.3201244
Abstract: Recent study shows that recommendation system not only relys on user’s static preference, but also dynamic preference. Consequently, it leads to the emergence of session-based recommendation. With the development of recurrent neural network, this kind… read more here.
Keywords: based recommendation; recommendation; dependency; session based ... See more keywords
Attention-Enhanced Graph Neural Networks With Global Context for Session-Based Recommendation
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DOI: 10.1109/access.2023.3254897
Abstract: Session-based recommendation is a crucial task aiming to predict users’ interested items based only on anonymous user behaviors. Most recent solutions for session-based recommendation comprehensively consider the interactive information of all sessions but bring the… read more here.
Keywords: recommendation; session based; attention enhanced; session ... See more keywords
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3091435
Abstract: Considering sessions as directed subgraphs, graph neural networks (GNNs) are supposed to be capable of capturing the complex dependencies among items and suitable for session-based recommendation. However, deep GNNs suffer from the oversmoothing problem of… read more here.
Keywords: hybrid order; based recommendation; session based;
Attention-Enhanced Graph Neural Networks for Session-Based Recommendation
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DOI: 10.3390/math8091607
Abstract: Session-based recommendation, which aims to match user needs with rich resources based on anonymous sessions, nowadays plays a critical role in various online platforms (e.g., media streaming sites, search and e-commerce). Existing recommendation algorithms usually… read more here.
Keywords: recommendation; based recommendation; session based; session ... See more keywords
Self-supervised global context graph neural network for session-based recommendation
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DOI: 10.7717/peerj-cs.1055
Abstract: Session-based recommendation (SBR) aims to recommend the next items based on anonymous behavior sequences over a short period of time. Compared with other recommendation paradigms, the information available in SBR is very limited. Therefore, capturing… read more here.
Keywords: self supervised; based recommendation; session based; context ... See more keywords