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Multi-feature based event recommendation in Event-Based Social Network

Jiuxin Cao, Ziqing Zhu, Liang Shi, Bo Liu, Zhuo Ma
2018 International Journal of Computational Intelligence Systems  
In this paper, a multiple features based event recommendation method is proposed, which makes full use of various information in the network to mine users' preference for event recommendation.  ...  As a new type of heterogeneous social network, Event-Based Social Network (EBSN) has experienced rapid development after its appearance.  ...  Introduction As traditional social networks have experienced rapid development in recent years, some special social networks have been appearing, such as Location-based Social Network (LBSN) 1 which  ... 
doi:10.2991/ijcis.11.1.48 fatcat:amodxypqtvbnzi3xwjkgroujmu

Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems

Panagiotis Adamopoulos, Alexander Tuzhilin
2014 ACM Conference on Recommender Systems  
We propose a method for estimating the expected economic value of multi-dimensional data sets in recommender systems and illustrate the proposed approach using a unique data set combining implicit and  ...  explicit ratings with rich content as well as spatio-temporal contextual dimensions and social network data.  ...  of the items, and the user features the social network information of the users (see Section 5).  ... 
dblp:conf/recsys/AdamopoulosT14 fatcat:poukg7eow5dk7mw7bm3tbexiey

Guest editorial: web information technologies

Xuemin Lin, Jeffrey Xu Yu
2015 World wide web (Bussum)  
Huang et al. study user attribute identification or profile inference in the third paper, "A multi-source integration framework for user occupation inference in social media systems".  ...  Evolutions of the hot events are also visualized in the paper. The second paper, by Li et al., "Social event identification and ranking on flickr", focuses on social event modeling and ranking.  ...  The authors propose a graph-based generic recommendation framework, which constructs a Multi-Layer Context Graph (MLCG) from implicit feedback data, and performs ranking algorithms in MLCG for context-aware  ... 
doi:10.1007/s11280-015-0356-y fatcat:uulmqqc4sneh3mlaqw3zlrpmly

Extracting Emergent Semantics from Large-Scale User-Generated Content [chapter]

Ioannis Kompatsiaris, Sotiris Diplaris, Symeon Papadopoulos
2012 Advances in Intelligent and Soft Computing  
The relevant techniques are reviewed and categorised according to their capability for scaling, multi-modal analysis, social networks analysis, semantic representation, real-time and spatio-temporal processing  ...  The special features of emergent semantics are herein described, along with the various dimensions that the techniques should be able to handle.  ...  To summarise, analysis techniques that deal with Web2.0-based and social network content and structure can be categorised with respect to the different dimensions they embrace (multi-modality), their ability  ... 
doi:10.1007/978-3-642-28664-3_3 dblp:conf/ictinnovations/KompatsiarisDP11 fatcat:ehsp5zztzfh4pcciwkvsxhc5au

HetInf: Social Influence Prediction With Heterogeneous Graph Neural Network

Liqun Gao, Haiyang Wang, Zhouran Zhang, Hongwu Zhuang, Bin Zhou
2022 Frontiers in Physics  
The majority of studies are based on a homogeneous graph neural network to model the influence between users. However, these studies ignore the impact of events on users in reality.  ...  For example, a user's favorite live streaming host (user) recommends certain products (event), can we predict whether the user will buy these products in the future?  ...  Definition 2: Social Action Social action refers to the behavior of users in the social network events, such as social network users retweet tweets (events) or publish papers (events).  ... 
doi:10.3389/fphy.2021.787185 fatcat:smv4l6jd5zdyblh7gfjjgnhwhy

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.  ...  Based on the Profile or User recommendation people will identify the group of users to subscribe the event and to participate, despite it faces cold-start issues intrinsically.  ...  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

The Future of Misinformation Detection: New Perspectives and Trends [article]

Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu
2019 arXiv   pre-print
The massive spread of misinformation in social networks has become a global risk, implicitly influencing public opinion and threatening social/political development.  ...  Misinformation detection (MID) has thus become a surging research topic in recent years.  ...  According to the type of features used in existing MID methods, we divide them into four categories: content features, social context features, feature fusion, and deep learning-based methods. e content-based  ... 
arXiv:1909.03654v1 fatcat:34h2os2pzrbm3kqluk5uajtr6i

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.  ...  In particular, besides contentbased signals based on the events' description and collaborative signals derived from users' RSVPs, we exploit social signals based on group memberships, location signals  ...  INTRODUCTION Event-based social networks (EBSNs) are online social networks where users can create, promote and share upcoming events of any kind with other users.  ... 
doi:10.1145/2792838.2800187 dblp:conf/recsys/MacedoMS15 fatcat:rccnr4odlrd5jeplv3rt2ydeve

Event-Based Mobile Social Networks: Services, Technologies, and Applications

Ahmedin Mohammed Ahmed, Tie Qiu, Feng Xia, Behrouz Jedari, Saeid Abolfazli
2014 IEEE Access  
Event-based mobile social networks (MSNs) are a special type of MSN that has an immanently temporal common feature, which allows any smart phone user to create events to share group messaging, locations  ...  This paper first provides review of the event-based social networks and the basic principles and architecture of event-based MSNs.  ...  Event-based MSNs are a category of dynamic social networks having a shared feature that the events in the social network are immanently temporal.  ... 
doi:10.1109/access.2014.2319823 fatcat:qranugverfgwrngukkyf64bjzy

Social Plane for Recommenders in Network Performance Expectation Management

Yuanxun Zhang, Prasad Calyam, Saptarshi Debroy, Sai Shreya Nuguri
2018 IEEE Transactions on Network and Service Management  
In this paper, we define a "social plane" that relies on recommended measurements based on "content-based filtering" and "collaborative filtering" approaches to enable network performance expectation management  ...  Multi-domain end-to-end network performance monitoring (NPM) federations such as perfSONAR are increasingly being used in Big Data application management.  ...  In [19] , the authors propose a tagging and trust mechanism in social networks based on users and their contents that is similar to our research of building a reputation scheme for multi-domain measurement  ... 
doi:10.1109/tnsm.2017.2772905 fatcat:txgn2hn5ofcg3ip5uagut36ana

Special Section on Social Media as Sensors

2013 IEEE transactions on multimedia  
These properties transform social media into data sources of an extremely dynamic nature that reflect topics of interests, events, and the evolution of community opinion and focus.  ...  The objective of this special section is to provide an overview of the current research in emerging topics related to applications where social media can act as sensors of real-life phenomena and case  ...  In personalization and retrieval applications, social-based indexing and user profiles can incorporate information about the structure and activity of the users social network directly into the personalization  ... 
doi:10.1109/tmm.2013.2264232 fatcat:c3nemeeo35btlfzj4fvwm2p63e

GATE: Graph-Attention Augmented Temporal Neural Network for Medication Recommendation

Chenhao Su, Sheng Gao, Si Li
2020 IEEE Access  
These methods have shown their limitations in dealing with the complex structural correlations and temporal dependencies of clinical events in EHRs, which results in the defect of recommendation quality  ...  Medication recommendation based on Electronic Health Records (EHRs) is an important research direction, which aims to make prescription recommendations according to EHRs of patients.  ...  prediction of social network users' friendship development over time.  ... 
doi:10.1109/access.2020.3007835 fatcat:cybpsj6onrgzpbu3bgwzw7gctu

An Application-oriented Review of Deep Learning in Recommender Systems

Jyoti Shokeen, Chhavi Rana
2019 International Journal of Intelligent Systems and Applications  
Recommender systems have been proved helpful in choosing relevant items. Several algorithms for recommender systems have been proposed in previous years.  ...  In recent years, deep learning has been also proved effective in handling information overload and recommending items.  ...  DEEP LEARNING IN SOCIAL RECOMMENDER SYSTEMS The combination of social networks with RS is termed as social recommender system [79] .  ... 
doi:10.5815/ijisa.2019.05.06 fatcat:67fgexfbfjh2no5b3phvohbole

2018 Index IEEE Transactions on Knowledge and Data Engineering Vol. 30

2019 IEEE Transactions on Knowledge and Data Engineering  
., þ, TKDE Nov. 2018 2171-2184 Fuzzy neural networks NHAD: Neuro-Fuzzy Based Horizontal Anomaly Detection in Online Social Networks.  ...  Li, C., þ, TKDE Aug. 2018 1440-1453 MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs.  ... 
doi:10.1109/tkde.2018.2882359 fatcat:asiids266jagrkx5eac6higrlq

Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities

Areej Bin Suhaim, Jawad Berri
2021 IEEE Access  
Context-aware recommender systems dedicated to online social networks experienced noticeable growth in the last few years.  ...  In this research, we present a comprehensive review of context-aware recommender systems developed for social networks.  ...  The following are some queries used in the search: "context-based recommend on online social network", "context-based recommend in microblog", and "context-based recommend in Twitter".  ... 
doi:10.1109/access.2021.3072165 fatcat:i3igbxd44jhrzcyvynevpidcwq
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