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A Review of Personalized Recommender System for Mental Health Interventions.
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- International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 10, p. 385
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- Article
Book recommendation system: reviewing different techniques and approaches.
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- International Journal on Digital Libraries, 2024, v. 25, n. 4, p. 803, doi. 10.1007/s00799-024-00403-7
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- Article
Consumer Behaviour: Analysing Marketing Campaigns through Recommender Systems and Statistical Techniques.
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- Marketing & Management of Innovations / Marketing ì Menedžment Ìnnovacìj, 2024, v. 15, n. 3, p. 1, doi. 10.21272/mmi.2024.3-01
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- Article
PageRank Algorithm-Based Recommendation System for Construction Safety Guidelines.
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- Buildings (2075-5309), 2024, v. 14, n. 10, p. 3041, doi. 10.3390/buildings14103041
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- Article
Desarrollo de competencias sociales y tecnológicas de maestros en formación: visibilizando problemas sociales con Twitter.
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- Revista Electrónica de Investigación Educativa, 2022, v. 24, p. 1, doi. 10.24320/redie.2022.24.e29.4228
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- Article
Time-Aware CF and Temporal Association Rule-Based Personalized Hybrid Recommender System.
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- Journal of Organizational & End User Computing, 2021, v. 33, n. 3, p. 1, doi. 10.4018/JOEUC.20210501.oa2
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- Article
Re-Centering Civil Rights in the Reauthorization of ESEA: An Equitable, Ecological, Evidence-Based Framework.
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- Education Policy Analysis Archives / Archivos Analíticos de Políticas Educativas / Arquivos Analíticos de Políticas Educativas, 2023, v. 31, n. 95-97, p. 1, doi. 10.14507/epaa.31.7993
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- Article
Navigating academia: Designing and evaluating a multidimensional recommendation system for university and major selection.
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- Psychology in the Schools, 2024, v. 61, n. 9, p. 3748, doi. 10.1002/pits.23255
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- Article
Personalized Recommendation Based on Contextual Awareness and Tensor Decomposition.
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- Journal of Electronic Commerce in Organizations, 2018, v. 16, n. 3, p. 39, doi. 10.4018/JECO.2018070104
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- Article
Personalized Recommendation Algorithm Based on Product Reviews.
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- Journal of Electronic Commerce in Organizations, 2018, v. 16, n. 3, p. 22, doi. 10.4018/JECO.2018070103
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- Publication type:
- Article
Combining User Contexts and User Opinions for Restaurant Recommendation in Mobile Environment.
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- Journal of Electronic Commerce in Organizations, 2016, v. 14, n. 1, p. 45, doi. 10.4018/JECO.2016010105
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- Publication type:
- Article
A Hybrid Microblog Recommendation Model in Mobile Social Network.
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- Journal of Electronic Commerce in Organizations, 2014, v. 12, n. 4, p. 69, doi. 10.4018/jeco.2014100107
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- Publication type:
- Article
Novel next-group recommendation approach based on sequential market basket information.
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- Electronic Commerce Research, 2023, v. 23, n. 4, p. 2399, doi. 10.1007/s10660-022-09543-x
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- Article
A study on the role of uninterested items in group recommendations.
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- Electronic Commerce Research, 2023, v. 23, n. 4, p. 2073, doi. 10.1007/s10660-021-09526-4
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- Article
What social characteristics enhance recommender systems? The effects of network embeddedness and preference heterogeneity.
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- Electronic Commerce Research, 2023, v. 23, n. 3, p. 1807, doi. 10.1007/s10660-021-09517-5
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- Article
Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems.
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- Electronic Commerce Research, 2023, v. 23, n. 2, p. 681, doi. 10.1007/s10660-021-09488-7
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- Publication type:
- Article
Customer centric hybrid recommendation system for E-Commerce applications by integrating hybrid sentiment analysis.
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- Electronic Commerce Research, 2023, v. 23, n. 1, p. 279, doi. 10.1007/s10660-022-09630-z
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- Article
A knowledge graph approach for recommending patents to companies.
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- Electronic Commerce Research, 2022, v. 22, n. 4, p. 1435, doi. 10.1007/s10660-021-09471-2
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- Article
A service recommendation approach based on trusted user profiles and an enhanced similarity measure.
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- Electronic Commerce Research, 2022, v. 22, n. 4, p. 1537, doi. 10.1007/s10660-021-09480-1
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- Publication type:
- Article
Semantic model to extract tips from hotel reviews.
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- Electronic Commerce Research, 2022, v. 22, n. 4, p. 1059, doi. 10.1007/s10660-020-09446-9
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- Article
Proposing improved meta-heuristic algorithms for clustering and separating users in the recommender systems.
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- Electronic Commerce Research, 2022, v. 22, n. 2, p. 623, doi. 10.1007/s10660-021-09478-9
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- Article
Correction to: Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems.
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- 2022
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- Publication type:
- Correction Notice
Towards effective discovery of natural communities in complex networks and implications in e-commerce.
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- Electronic Commerce Research, 2021, v. 21, n. 4, p. 917, doi. 10.1007/s10660-019-09395-y
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- Article
A novel trust recommendation model for mobile social network based on user motivation.
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- Electronic Commerce Research, 2021, v. 21, n. 3, p. 809, doi. 10.1007/s10660-019-09344-9
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- Article
Demand effects of product similarity network in e-commerce platform.
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- Electronic Commerce Research, 2021, v. 21, n. 2, p. 297, doi. 10.1007/s10660-019-09352-9
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- Article
A multi-aspect user-interest model based on sentiment analysis and uncertainty theory for recommender systems.
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- Electronic Commerce Research, 2020, v. 20, n. 4, p. 857, doi. 10.1007/s10660-018-9319-6
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- Article
Situation awareness for recommender systems.
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- Electronic Commerce Research, 2020, v. 20, n. 4, p. 783, doi. 10.1007/s10660-018-9321-z
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- Article
Introduction to the special issue: electronic commerce in social networks.
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- 2020
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- Publication type:
- Editorial
Product advertising recommendation in e-commerce based on deep learning and distributed expression.
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- Electronic Commerce Research, 2020, v. 20, n. 2, p. 321, doi. 10.1007/s10660-020-09411-6
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- Article
Predicting consumer preferences in electronic market based on IoT and Social Networks using deep learning based collaborative filtering techniques.
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- Electronic Commerce Research, 2020, v. 20, n. 2, p. 241, doi. 10.1007/s10660-019-09377-0
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- Article
Leveraging friend and group information to improve social recommender system.
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- Electronic Commerce Research, 2020, v. 20, n. 1, p. 147, doi. 10.1007/s10660-019-09390-3
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- Article
Incorporating facial attractiveness in photos for online dating recommendation.
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- Electronic Commerce Research, 2019, v. 19, n. 2, p. 285, doi. 10.1007/s10660-018-9308-9
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- Article
An adjustable re-ranking approach for improving the individual and aggregate diversities of product recommendations.
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- Electronic Commerce Research, 2019, v. 19, n. 1, p. 59, doi. 10.1007/s10660-018-09325-4
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- Article
A weight-based item recommendation approach for electronic commerce systems.
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- Electronic Commerce Research, 2017, v. 17, n. 2, p. 205, doi. 10.1007/s10660-015-9188-1
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- Publication type:
- Article
Finding users preferences from large-scale online reviews for personalized recommendation.
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- Electronic Commerce Research, 2017, v. 17, n. 1, p. 3, doi. 10.1007/s10660-016-9240-9
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- Publication type:
- Article
A novel approach to exploring maximum consensus graphs from users' preference data in a new age environment.
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- Electronic Commerce Research, 2015, v. 15, n. 4, p. 543, doi. 10.1007/s10660-015-9199-y
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- Article
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/8828087
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- Article
A Tri-Attention Neural Network Model-BasedRecommendation.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/3857871
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- Article
A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/9071624
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- Article
Recommendation Algorithm in Double-Layer Network Based on Vector Dynamic Evolution Clustering and Attention Mechanism.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/5206087
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- Publication type:
- Article
A Session-Based Song Recommendation Approach Involving User Characterization along the Play Power-Law Distribution.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/7309453
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- Publication type:
- Article
Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/2085638
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- Publication type:
- Article
DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/4780191
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- Article
Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/1401236
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- Article
A Time-Aware CNN-Based Personalized Recommender System.
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- Complexity, 2019, p. 1, doi. 10.1155/2019/9476981
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- Publication type:
- Article
Downstream Information Leaking and Information Sharing Between Partially Informed Retailers.
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- Journal of Industry, Competition & Trade, 2020, v. 20, n. 4, p. 733, doi. 10.1007/s10842-020-00336-2
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- Publication type:
- Article
Feature selection methods for root‐cause analysis among top‐level product attributes.
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- Quality & Reliability Engineering International, 2021, v. 37, n. 1, p. 335, doi. 10.1002/qre.2738
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- Publication type:
- Article
Three-stage image forgery localization with shallow feature enhancement and attention.
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- Journal of Electronic Imaging, 2022, v. 31, n. 6, p. 63051, doi. 10.1117/1.JEI.31.6.063051
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- Publication type:
- Article
Image recommender system based on compact convolutional transformer image style recognition.
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- Journal of Electronic Imaging, 2022, v. 31, n. 4, p. 43054, doi. 10.1117/1.JEI.31.4.043054
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- Article
Graph contrastive learning for recommendation with generative data augmentation.
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- Multimedia Systems, 2024, v. 30, n. 4, p. 1, doi. 10.1007/s00530-024-01375-z
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- Publication type:
- Article