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
Sign Up to like & getrecommendations! Published in 2020 at "Empirical Software Engineering"
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
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Intelligent Information Systems"
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
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
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
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
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
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
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
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
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
Self-Supervised Enhancement Method for Multi-Behavior Session-Based Recommendation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3504496
Abstract: Session-Based Recommendation(SBR) aims to capture users’ short-term and dynamic preferences through anonymous sessions. Most existing SBR methods neglect the collaborative information between multiple behaviors in a session when modeling user preferences, and they often struggle… read more here.
Keywords: method; self supervised; based recommendation; session ... See more keywords
PRIDES: A Probabilistic Model for Recurrent User Interest Drift Identification in Session-Based Recommendation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3564460
Abstract: A Session-Based Recommendation (SBR) identifies correlations among session interactions to understand user preferences and generate appropriate recommendations. A key challenge in this context is the dynamic change in user preferences, particularly when preferences disappear and… read more here.
Keywords: ruid; session; identification; based recommendation ... See more keywords
A Comprehensive Content-Based Recommendation System for Programming Problems Through Multi-Faceted Code Analysis
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3574246
Abstract: Recommending exercises in educational contexts requires balancing relevance and diversity to support effective learning progression. In such settings, content-based recommendation is particularly suitable, as it aligns with specific learning objectives and supports progression without relying… read more here.
Keywords: recommendation; content based; recommendation system; based recommendation ... 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;