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A Review on Trust-Aware and Privacy Preserving Profile Matching System for Personalized User Recommendations in Social networks

Kulkarni VaishnaviShripad, Archana S. Vaidya
2014 International Journal of Computer Applications  
Based on the trust semantics, the system will provide the positive (trustworthy) recommendations and the negative (untrustworthy) recommendations.  ...  The reputation mechanism captures the implicit and explicit connections between the network members, analyses the semantics and dynamics of these connections, and provides personalized user recommendations  ...  It has been shown that incorporating social network relationships (e.g., friendship) and respective opinions/ratings improves the prediction, and consequently the recommendation process [3] .  ... 
doi:10.5120/18254-9335 fatcat:n2ggtvczzjbfdaygmjwrbcnf3e

Adopting explicit and implicit social relations by SVD++ for recommendation system improvement

Mohsin Hasan Hussein, Akeel Abdulkareem Alsakaa, Haydar A. Marhoon
2021 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Recommender systems suffer a set of drawbacks such as sparsity. Social relations provide a useful source to overcome the sparsity problem.  ...  Experimental results reveal that the proposed model is superior to other studies such as SVD, SVD++, EU-SVD++, SocReg, and EISR in terms of accuracy, where the improvement of the proposed method is about  ...  A recommendation system (RS) can be defined as a tool that can recommend a list of items to interested users [3] .  ... 
doi:10.12928/telkomnika.v19i2.18149 fatcat:ja2li7l7ojh5bnsqqftsfo7kau

Discovering The Impact Of Knowledge In Recommender Systems: A Comparative Study

Bahram Amini, Roliana Ibrahim, Mohd Shahizan Othman
2011 International Journal of Computer Science & Engineering Survey  
Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information.  ...  However, a comprehensive literature review of recommender systems has demonstrated no concrete study on the role and impact of knowledge in user profiling and filtering approache.  ...  Thus, a good start of improvement performance of recommender system can be incorporating intensive contextual knowledge into the recommender system.  ... 
doi:10.5121/ijcses.2011.2301 fatcat:l3wymqfgqbhovhiy72osnb6hja

Incorporating Community Detection and Clustering Techniques into Collaborative Filtering Model

Wei Deng, Rajvardhan Patil, Lotfollah Najjar, Yong Shi, Zhengxin Chen
2014 Procedia Computer Science  
network, which makes possible to incorporate community detection and clustering algorithms to improve their performance.  ...  Such information is used as feedback to our recommender system to improve the prediction accuracy.  ...  In our experiment, as we have used the communities and groups as implicit feedback, it has led to the improvement in the accuracy of the model as compared to SVD.  ... 
doi:10.1016/j.procs.2014.05.246 fatcat:tmag3vzkzjd57ji7whb6kxivx4

Addressing power dynamics in community-engaged research partnerships

Lauri Andress, Tristen Hall, Sheila Davis, Judith Levine, Kimberly Cripps, Dominique Guinn
2020 Journal of Patient-Reported Outcomes  
Finally, to ensure trustworthiness, the selected quotes on power dynamics and the recommended tools were subjected to naturalistic treatment using peer debriefings and triangulation.  ...  Three tools including implicit bias training, positionality, and structural competency may be used to address power dynamics and related concepts.  ...  reducing provider implicit bias and improving health outcomes [37, 38] .  ... 
doi:10.1186/s41687-020-00191-z pmid:32249348 fatcat:xhlb5g5gkrf5hbfom2igzvnjn4

Mobile Multimedia Recommendation in Smart Communities: A Survey [article]

Feng Xia, Nana Yaw Asabere, Ahmedin Mohammed Ahmed, Jing Li, Xiangjie Kong
2013 arXiv   pre-print
A cautious analysis of existing research reveals that the implementation of proactive, sensor-based and hybrid recommender systems can improve mobile multimedia recommendations.  ...  In this survey paper, we examine the importance of mobile multimedia recommendation systems from the perspective of three smart communities, namely, mobile social learning, mobile event guide and context-aware  ...  systems have to be conducted to improve mobile multimedia recommendation in smart communities.  ... 
arXiv:1312.6565v1 fatcat:myep75jg4fcvhgscrxjmouoksm

Exploiting homophily-based implicit social network to improve recommendation performance

Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael Lyu, Irwin King
2014 2014 International Joint Conference on Neural Networks (IJCNN)  
Social information between users has been widely used to improve the traditional Recommender System in many previous works.  ...  However, in many websites such as Amazon and eBay, there is no explicit social graph that can be used to improve the recommendation performance.  ...  methods to improve the recommendation performance in the non-social recommender systems.  ... 
doi:10.1109/ijcnn.2014.6889743 dblp:conf/ijcnn/ZhaoHHFLK14 fatcat:hynbwj4tifexrnlz2rcylhprse

Systematic Evaluation of Social Recommendation Systems: Challenges and Future

Priyanka Rastogi, Dr. Vijendra
2016 International Journal of Advanced Computer Science and Applications  
This paper also analyses key aspects of any generic recommender system namely Domain, Personalization Levels, Privacy and Trustworthiness, Recommender algorithms to give a better understanding to researchers  ...  This paper discusses reasons for evolution of recommender systems leading to transition from traditional to social information based recommendations.  ...  DIMENSIONS OF RECOMMENDER SYSTEM In order to design a new recommendation system or improve an existing or simply understand it, one needs to understand the generic framework of any recommender system.  ... 
doi:10.14569/ijacsa.2016.070420 fatcat:wwvyumdr5ffohiphirbb3ycuoa

An experimental study on implicit social recommendation

Hao Ma
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
The result indicates that: (1) Implicit user and item social information, including similar and dissimilar relationships, can be employed to improve traditional recommendation methods. (2) When comparing  ...  In this paper, we study the following two research problems: (1) In some systems without explicit social information, can we still improve recommender systems using implicit social information?  ...  ., dissimilar users can also be utilized to improve recommender systems. CONCLUSION This paper studies a research problem on how to improve recommender systems using implicit social information.  ... 
doi:10.1145/2484028.2484059 dblp:conf/sigir/Ma13 fatcat:fivnlpfokrhw7d6k2gbo5esp74

The Power of Implicit Social Relation in Rating Prediction of Social Recommender Systems

Waleed Reafee, Naomie Salim, Atif Khan, Ye Wu
2016 PLoS ONE  
The social recommendation methods that are based on probabilistic matrix factorization improved the recommendation accuracy and partly solved the cold-start and data sparsity problems.  ...  Furthermore, we propose a new probabilistic matrix factorization method to alleviate the data sparsity problem through incorporating explicit friendship and implicit friendship.  ...  Ali Ahmed and Dr. Hafez Ibrahim for experimental help. We thank Ph.D M.Moumtaz for technical assistance. Author Contributions Conceived and designed the experiments: WR NS AK.  ... 
doi:10.1371/journal.pone.0154848 pmid:27152663 pmcid:PMC4859527 fatcat:r5zszvrzprfbzjnsi6cigppdxu

Decolonization and Reconciliation Work in Public Libraries: An Analysis of Strategic Plans

Dinesh Rathi
2021 Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI  
The findings suggest that different library systems made varying levels of explicit and/or implicit commitment towards reconciliation and decolonization.  ...  This research examines strategic plans posted on the organizational websites of nine Canadian public library systems operating in cities with significant Indigenous population.  ...  The analysis revealed the explicit and implicit commitments of public libraries towards decolonization and reconciliation.  ... 
doi:10.29173/cais1204 fatcat:rtbxfqrfmne2hkv7bmxvrsg6wq

Integrated Collaborative Filtering for Implicit Feedback Incorporating Covisitation

Hongmei LI, Xingchun DIAO, Jianjun CAO, Yuling SHANG, Yuntian FENG
2017 IEICE transactions on information and systems  
the covisitation of users and items simultaneously to model recommendation with implicit feedback.  ...  To this end, we propose the algorithm Integrated Collaborative Filtering for Implicit Feedback incorporating Covisitation (ICFIF-C) to integrate matrix factorization and collaborative ranking incorporating  ...  The authors would like to thank the anonymous reviewers for their constructive comments.  ... 
doi:10.1587/transinf.2017edl8020 fatcat:apzjm7sdcbatjpyy6j3r7r6nj4

Recommender Systems Research: A Connection-Centric Survey

Saverio Perugini, Marcos André Gonçalves, Edward A. Fox
2004 Journal of Intelligent Information Systems  
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences.  ...  (right) Identification and discovery of a network by exposing self-organizing communities implicit in user-generated data such as communication or web logs.  ...  We thank Naren Ramakrishnan for planting the idea for this survey during his Spring 2001 offering of CS6604: Recommender Systems at Virginia Tech.  ... 
doi:10.1023/b:jiis.0000039532.05533.99 fatcat:rscxs4oypfffpkvkbntzz4xnx4

A Connection-Centric Survey of Recommender Systems Research [article]

Saverio Perugini, Marcos Andre Goncalves, Edward A. Fox
2003 arXiv   pre-print
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences.  ...  Recommendations, however, are not delivered within a vacuum, but rather cast within an informal community of users and social context.  ...  We thank Naren Ramakrishnan for planting the idea for this survey during his Spring 2001 offering of CS6604: Recommender Systems at Virginia Tech.  ... 
arXiv:cs/0205059v2 fatcat:t45q7wvdmrg3badt2ioeagwasa

Recommender System for Journal Articles using Opinion Mining and Semantics

Anam Sardar, Javed Ferzund, Muhammad Asif, Muhammad Shoaib
2017 International Journal of Advanced Computer Science and Applications  
Academic articles, such as research papers are the way to express ideas and thoughts for the research community.  ...  Till date, the dominant part of Recommender Systems (RS) work focusing on single domain, i.e. for films, books and shopping and so on. However, human inclinations may traverse over numerous areas.  ...  A hybrid research paper recommender system is introduced by researchers which improves the research paper recommendations by combining keyword-based search with implicit and explicit rating, citation analysis  ... 
doi:10.14569/ijacsa.2017.081227 fatcat:fqx3nr3sxbcencvuz3pbtugzba
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