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A Survey of Context-Aware Recommendation Schemes in Event-Based Social Networks

Xiaomei Huang, Guoqiong Liao, Naixue Xiong, Athanasios V. Vasilakos, Tianming Lan
2020 Electronics  
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

Areej Bin Suhaim, Jawad Berri
2021 IEEE Access  
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]

Guoqiong Liao, Xiaomei Huang, Neal N. Xiong, Changxuan Wan
2020 arXiv   pre-print
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

Augusto Q. Macedo, Leandro B. Marinho, Rodrygo L.T. Santos
2015 Proceedings of the 9th ACM Conference on Recommender Systems - RecSys '15  
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

T. Manojpraphakar, A. Soundarrajan
2022 Intelligent Automation and Soft Computing  
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

Hendrik Wermser, Achim Rettinger, Volker Tresp
2011 2011 International Conference on Advances in Social Networks Analysis and Mining  
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]

Shudong Liu
2017 arXiv   pre-print
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

Guoqiong Liao, Xiaomei Huang, Naixue Xiong, Changxuan Wan, Mingsong Mao
2021 IEEE Transactions on Industrial Informatics  
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

Daniel Herzog, Wolfgang Wörndl
2016 Proceedings of the 12th International Conference on Web Information Systems and Technologies  
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

Achim Rettinger, Hendrik Wermser, Yi Huang, Volker Tresp
2012 Social Network Analysis and Mining  
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

Youfang Leng, Li Yu
2021 IEEE Access  
[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

Panagiotis Bouros, Matthias Renz, Dimitris Sacharidis
2018 SIGSPATIAL Special  
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

Tianming Lan, Lei Guo, Xiaofei Li, Guangfu Chen, Dharmendra Singh Rajput
2022 Wireless Communications and Mobile Computing  
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

Alan Said, Shlomo Berkovsky, Ernesto W. De Luca
2013 ACM Transactions on Intelligent Systems and Technology  
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

Xue Chen, Qing Hao
2022 Scientific Programming  
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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