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A Survey of Context-Aware Recommendation Schemes in Event-Based Social Networks
2020
Electronics
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In recent years, Event-based social network (EBSN) applications, such as Meetup and DoubanEvent, have received popularity and rapid growth. ...
We also overview the datasets and evaluation metrics for evaluation in this research area, and discuss the applications of context-aware recommendation in EBSNs. ...
factor, temporal factor, social factor, network features [9, 19, 20, 30, 33, 60, 66] Group-to-user recommendation MF, graph-based model spatial factor, temporal factor, social factor [25, 92] Tag-to-group ...
doi:10.3390/electronics9101583
fatcat:hdapa7y4vfcefcprlngjnjn5ai
Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities
2021
IEEE Access
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In this research, we present a comprehensive review of context-aware recommender systems developed for social networks. ...
Context-aware recommender systems dedicated to online social networks experienced noticeable growth in the last few years. ...
The authors are grateful for this support. ...
doi:10.1109/access.2021.3072165
fatcat:i3igbxd44jhrzcyvynevpidcwq
An Intelligent Group Event Recommendation System in Social networks
[article]
2020
arXiv
pre-print
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In this paper, we propose an Attention-based Context-aware Group Event Recommendation model (ACGER) in EBSNs. ...
However, most existing group recommendation models in Event-Based Social Networks (EBSNs) focus on how to aggregate group members' preferences to form group preferences. ...
, and context-aware event recommendation for groups. ...
arXiv:2006.08893v1
fatcat:rcpu2gssjjeevd5pa4chjkp4lu
Context-Aware Event Recommendation in Event-based Social Networks
2015
Proceedings of the 9th ACM Conference on Recommender Systems - RecSys '15
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However, the sheer volume of events available in event-based social networks (EBSNs) often undermines the users' ability to choose the events that best fit their interests. ...
Moreover, we combine the proposed signals for learning to rank events for personalized recommendation. ...
In a thorough evaluation on a large crawl of Meetup.com, we showed that our approach improves upon a state-of-theart context-aware event recommender based on matrix factorization with social regularization ...
doi:10.1145/2792838.2800187
dblp:conf/recsys/MacedoMS15
fatcat:rccnr4odlrd5jeplv3rt2ydeve
Deep Contextual Learning for Event-Based Potential User Recommendation in Online Social Networks
2022
Intelligent Automation and Soft Computing
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Event recommendation allows people to identify various recent upcoming social events. ...
The existing models exploit multiple contextual factors to mitigate the cold-start issues in essential applications on profile recommendations to the event. ...
In Section 3, the correlation aware deep influence prediction framework for recommending profile to the social event using Deep belief Network. ...
doi:10.32604/iasc.2022.025090
fatcat:iy3vh2yilbgndm4znef4yk4mgm
Modeling and Learning Context-Aware Recommendation Scenarios Using Tensor Decomposition
2011
2011 International Conference on Advances in Social Networks Analysis and Mining
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The task of recommending items, like movies, to users is a core feature of many social networks. ...
Recently, multivariate models like matrix factorization have become popular to combine the advantages of both perspectives. ...
recommendation task in social networks. ...
doi:10.1109/asonam.2011.56
dblp:conf/asunam/WermserRT11
fatcat:v4t7z7kebrdnldnnbsjfo5nuqy
User modeling for point-of-interest recommendations in location-based social networks: the state-of-the-art
[article]
2017
arXiv
pre-print
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Location-based social networks(LBSNs)allow users to check-in at a physical location and share daily tips on points-of-interest (POIs) with their friends anytime and anywhere. ...
Depending on which type of LBSNs data was fully utilized in user modeling approaches for POI recommendations, we divide user modeling algorithms into four categories: pure check-in data-based user modeling ...
[95] focused on the problem of predicting users' social influence on event recommendations in event-based social networks and proposed a hybrid collaborative filtering model by incorporating both event-based ...
arXiv:1712.06768v1
fatcat:nzmsjj6kjzby7ldi3czf6zlkye
Softwarized Attention-Based Context-Aware Group Recommendation Technology in Event-Based Industrial Cyber-Physical Systems
2021
IEEE Transactions on Industrial Informatics
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In this paper, we propose an Attention-based Context-aware Group Event Recommendation model (ACGER) in EICPSs. ...
Furthermore, to make full use of rich user-event interactions in EICPSs, we integrate the context-aware individual recommendation task into ACGER, which enhances the accuracy of learning of user embeddings ...
CONCLUSION AND FUTURE WORK In this paper, we study an Attention-based Context-aware Group Event Recommendation model (ACGER) for EICPSs. ...
doi:10.1109/tii.2021.3054364
fatcat:u7bu2lvpo5fs5j2jd7gql2nbki
Extending Content-Boosted Collaborative Filtering for Context-aware, Mobile Event Recommendations
2016
Proceedings of the 12th International Conference on Web Information Systems and Technologies
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In this paper, CBCF is adapted to event recommendations and extended by context-aware recommendations. ...
However, the study exposed that further event attributes should be considered as context factors in order to increase the quality of the recommendations. ...
of the German based social network for professionals XING. ...
doi:10.5220/0005763702930303
dblp:conf/webist/HerzogW16
fatcat:j2mcajnd5fhe3j3pyhpcgiyhdu
Context-aware tensor decomposition for relation prediction in social networks
2012
Social Network Analysis and Mining
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While the first approach, the Context-Aware Recommendation Tensor Decomposition (CARTD), proposes an efficient optimization criterion and decomposition ...
Factorizing approaches have proven effective in the modeling of these types of relations. If only a single binary relation is of interest, matrix factorization is typically applied. ...
Conclusion and Future Work In this paper we covered the modeling of context-aware relations for the task of relation prediction in social networks, e.g., recommending movies to users. ...
doi:10.1007/s13278-012-0069-5
fatcat:ysogtuva65eovhcvvjbuescgsq
Hierarchical Context-aware Recurrent Network for Session-based Recommendation
2021
IEEE Access
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[20] introduced graph attention networks into the social recommendation for modeling both dynamic user interests and context-dependent social influences. Wu et al. ...
To tackle the above problem, we propose a novel neural networks framework, namely Hierarchical Context-aware Recurrent Network (HiCAR), which incorporates both the session-context and event-context for ...
doi:10.1109/access.2021.3069846
fatcat:5rtu6ppnmjffdbfnp3vojplbdy
Localrec 2017 workshop report: the First ACM SIGSPATIAL Workshop on Recommendations for Location-Based Services and Social Networks
2018
SIGSPATIAL Special
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The LocalRec'15 workshop brings together scholars from location-based services and recommender systems, and seeks to set out new trends and research directions. ...
This torrent of geo-referenced data provides a tremendous potential to augment recommender systems. ...
The non-exhaustive list of topics relevant to LocalRec'15 was the following. • Location-based social networks friend/communities recommendations event, venue, and other location-aware recommendations extracting ...
doi:10.1145/3178392.3178409
fatcat:v22izpcxxfeepo7licrrp4fx24
Research on the Prediction System of Event Attendance in an Event-Based Social Network
2022
Wireless Communications and Mobile Computing
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In recent years, an event-based social network recommendation system has attracted more and more researchers' attention. Most EBSN recommendation systems mainly focus on recommending events to users. ...
However, in many daily activities, it is necessary to accurately estimate the number of event participants for EBSN event organizers. ...
[57] proposed a privacy protection method based on weighted noise injection technology for recommendation in the social network environment. ...
doi:10.1155/2022/1701345
fatcat:i4pqlbd3lrbsxippjh67uaohzu
Introduction to special section on CAMRa2010
2013
ACM Transactions on Intelligent Systems and Technology
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The challenge focused on three context-aware recommendation scenarios: time-based, mood-based, and social recommendation. ...
The challenge and workshop on Context-Aware Movie Recommendation (CAMRa2010) were conducted jointly in 2010 with the Recommender Systems conference. ...
-"Social Temporal Collaborative Ranking for Context Aware Movie Recommendation" by Nathan Liu, Luheng He, and Min Zhao presents a novel ranking-based matrix factorization model, a time-aware matrix factorization ...
doi:10.1145/2414425.2414438
fatcat:zjvep6jpm5btfgqinxev5of6fm
Research on Internet of Things Context-Aware Information Fusion Technology for Smart Libraries
2022
Scientific Programming
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of smart library based on context awareness, and puts forward some suggestions for smart library's context-aware service. ...
This paper expounds the development status of smart library and context-aware technology at home and abroad, analyzes the application of context-aware technology in smart library, constructs a framework ...
Acknowledgments is work was supported by the Research Project of Liaoning Provincial Library Society in 2021 (no. 2021tsgxhqnkt-010). ...
doi:10.1155/2022/5282932
doaj:62163aac645443f5a1120b528790ac52
fatcat:gky3culhhnaplieyrg5ow5zzzm
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