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A Social Influence Approach for Group User Modeling in Group Recommendation Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/1-4020-2164-x_5openalex-snapshot
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_21openalex-snapshot
Group Recommender Systems: Combining Individual Models
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_20openalex-snapshot
Recommendation to Groups
inferredcites →https://doi.org/10.1007/s00779-011-0413-1openalex-snapshot
Generating recommendations for consensus negotiation in group personalization services
inferredcites →https://doi.org/10.1007/s10115-009-0282-3openalex-snapshot
Symbolic data analysis tools for recommendation systems
inferredcites →https://doi.org/10.1007/s11042-011-0897-8openalex-snapshot
Group affinity based social trust model for an intelligent movie recommender system
inferredcites →https://doi.org/10.1007/s11257-006-9008-3openalex-snapshot
In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems
inferredcites →https://doi.org/10.1016/j.csda.2012.03.001openalex-snapshot
Dissimilarity measures and divisive clustering for symbolic multimodal-valued data
inferredcites →https://doi.org/10.1016/j.eswa.2010.12.143openalex-snapshot
On the design of individual and group recommender systems for tourism
inferredcites →https://doi.org/10.1016/j.ins.2011.11.037openalex-snapshot
Preference elicitation techniques for group recommender systems
inferredcites →https://doi.org/10.1016/j.ins.2014.08.072openalex-snapshot
Virtual user approach for group recommender systems using precedence relations
inferredcites →https://doi.org/10.1016/j.knosys.2014.05.013openalex-snapshot
Development of a group recommender application in a Social Network
inferredcites →https://doi.org/10.1023/b:user.0000010138.79319.fdopenalex-snapshot
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
inferredcites →https://doi.org/10.1037/t02326-000openalex-snapshot
Thomas-Kilmann Conflict Mode Instrument
inferredcites →https://doi.org/10.1109/icpads.2011.150openalex-snapshot
Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models
inferredcites →https://doi.org/10.1109/mis.2007.52openalex-snapshot
Guest Editors' Introduction: Recommender Systems
inferredcites →https://doi.org/10.1177/105960117600100214openalex-snapshot
Thomas-Kilmann Conflict Mode Instrument
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_10openalex-snapshot
Group Recommender Systems: Beyond Preference Aggregation
inferred← citeshttps://doi.org/10.1007/978-3-030-03840-3_36openalex-snapshot
Modeling the Changing of the Individual Satisfaction in a Group Context: A Study on Two Sized Groups
inferred← citeshttps://doi.org/10.1007/978-3-031-04829-6_21openalex-snapshot
Recommender System Based on the Friendship Between Social Network Users in a Cold-Start Scenario
inferred← citeshttps://doi.org/10.1007/978-3-031-61966-3_6openalex-snapshot
Influence Based Group Recommendation System in Personality and Dynamic Trust
inferred← citeshttps://doi.org/10.1007/978-981-99-8850-1_35openalex-snapshot
Multi-trends Enhanced Dynamic Micro-video Recommendation
inferred← citeshttps://doi.org/10.1007/s00521-023-08410-6openalex-snapshot
Neural group recommendation based on a probabilistic semantic aggregation
inferred← citeshttps://doi.org/10.1007/s11036-018-1076-1openalex-snapshot
Towards Social Big Data-Based Affective Group Recommendation
inferred← citeshttps://doi.org/10.1007/s11042-023-16799-4openalex-snapshot
Group recommendation exploiting characteristics of user-item and collaborative rating of users
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107631openalex-snapshot
Group article recommendation based on ER rule in Scientific Social Networks
inferred← citeshttps://doi.org/10.1016/j.dss.2021.113663openalex-snapshot
Aggregating user preferences in group recommender systems: A crowdsourcing approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115396openalex-snapshot
Group recommender system based on genre preference focusing on reducing the clustering cost
inferred← citeshttps://doi.org/10.1016/j.future.2018.11.030openalex-snapshot
TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators
inferred← citeshttps://doi.org/10.1016/j.ins.2022.02.033openalex-snapshot
A personality-aware group recommendation system based on pairwise preferences
inferred← citeshttps://doi.org/10.1016/j.ins.2022.08.010openalex-snapshot
Bayesian inductive learning in group recommendations for seen and unseen groups
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110731openalex-snapshot
A multi-graph neural group recommendation model with meta-learning and multi-teacher distillation
inferred← citeshttps://doi.org/10.1109/icc.2017.7996987openalex-snapshot
Impact factor-based group recommendation scheme with privacy preservation in MSNs
inferred← citeshttps://doi.org/10.1109/icccbda.2017.7951929openalex-snapshot
Research on group POIs recommendation fusion of users' gregariousness and activity in LBSN
inferred← citeshttps://doi.org/10.1109/icde.2019.00057openalex-snapshot
Social Influence-Based Group Representation Learning for Group Recommendation
inferred← citeshttps://doi.org/10.1109/icde48307.2020.00018openalex-snapshot
Group Recommendation with Latent Voting Mechanism
inferred← citeshttps://doi.org/10.1109/tits.2019.2961170openalex-snapshot
Recommendation for Ridesharing Groups Through Destination Prediction on Trajectory Data
inferred← citeshttps://doi.org/10.1109/tkde.2020.3023787openalex-snapshot
Overcoming Data Sparsity in Group Recommendation
inferred← citeshttps://doi.org/10.1109/tnnls.2019.2955567openalex-snapshot
An Efficient Group Recommendation Model With Multiattention-Based Neural Networks
inferred← citeshttps://doi.org/10.1109/tsmc.2021.3131349openalex-snapshot
A Novel Group Recommendation Model With Two-Stage Deep Learning
inferred← citeshttps://doi.org/10.1145/3308558.3313449openalex-snapshot
GhostLink: Latent Network Inference for Influence-aware Recommendation
inferred← citeshttps://doi.org/10.1145/3442381.3449791openalex-snapshot
Future-Aware Diverse Trends Framework for Recommendation
inferred← citeshttps://doi.org/10.1145/3450613.3456811openalex-snapshot
Learning to Trust: Understanding Editorial Authority and Trust in Recommender Systems for Education
inferred← citeshttps://doi.org/10.1145/3457949openalex-snapshot
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation
inferred← citeshttps://doi.org/10.1145/3543507.3583202openalex-snapshot
LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation
inferred← citeshttps://doi.org/10.11606/d.3.2020.tde-20052021-103031openalex-snapshot
Sistema de recomendação baseado na relação de amizade entre usuários de redes sociais num cenário de cold-start.
inferred← citeshttps://doi.org/10.1177/0165551518819973openalex-snapshot
Document recommendation based on the analysis of group trust and user weightings
inferred← citeshttps://doi.org/10.15276/aait.07.2024.1openalex-snapshot
Methods of preference aggregation in group recommender systems
inferred← citeshttps://doi.org/10.3390/bdcc9010001openalex-snapshot
Integrating Social Relationships and Personality into MAS-Based Group Recommendations
inferred← citeshttps://doi.org/10.3390/ijgi7020067openalex-snapshot
An Automatic User Grouping Model for a Group Recommender System in Location-Based Social Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1905.05955openalex-snapshot
GhostLink: Latent Network Inference for Influence-aware Recommendation
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