16,098 Hits in 6.5 sec

Enhancing the trust-based recommendation process with explicit distrust

Patricia Victor, Nele Verbiest, Chris Cornelis, Martine De Cock
2013 ACM Transactions on the Web  
In this article, we introduce a distrust-enhanced recommendation algorithm which has its roots in Golbeck's trust-based weighted mean.  ...  These are the so-called trust-enhanced recommendation systems.  ...  In this section, however, we explore how distrust may enhance the trust-based recommendation process.  ... 
doi:10.1145/2460383.2460385 fatcat:rldjry24orbupatulfhofuczoq

Matrix Factorization with Explicit Trust and Distrust Relationships [article]

Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohamed Sarwat
2014 arXiv   pre-print
Through experiments on the Epinions data set, we show that our new algorithm outperforms its standard trust-enhanced or distrust-enhanced counterparts with respect to accuracy, thereby demonstrating the  ...  positive effect that incorporation of explicit distrust information can have on recommender systems.  ...  In other words, we would like to experimentally evaluate whether incorporating distrust can indeed enhance the trust-based recommendation process.  ... 
arXiv:1408.0325v1 fatcat:vpg2ngkijvaphn2bq3y62tefxm

Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation

Rana Forsati, Mehrdad Mahdavi, Mehrnoush Shamsfard, Mohamed Sarwat
2014 ACM Transactions on Information Systems  
Matrix factorization with explicit trust and distrust side information for improved social recommendation.  ...  The main motivation for exploiting trust information in the recommendation process stems from the observation that the ideas we are exposed to and the choices we make are significantly influenced by our  ...  ACKNOWLEDGMENTS The authors would like to thank the Associate Editor and three anonymous reviewers for their immensely insightful comments and helpful suggestions on the original version of this article  ... 
doi:10.1145/2641564 fatcat:cmyhtjwj5fehfgoik46ureo3by

The Role of Trust to Enhance the Recommendation System Based on Social Network

Muhammed E Abd Alkhalec Tharwat, Deden Witarsyah Jacob, Mohd Farhan Md Fudzee, Shahreen Kasim, Azizul Azhar Ramli, Muharman Lubis
2020 International Journal on Advanced Science, Engineering and Information Technology  
Additionally, this content focused on the role of incorporating a trust relationship from the social network to enhance the weaknesses of CF and achieve better quality in the recommendation process.  ...  The trust relationship between users can boost and enhance CF limitations.  ...  Our future work will focus on how to utilize the explicit, implicit of trust sources with distrust relationship to enhance the current trust recommendation system.  ... 
doi:10.18517/ijaseit.10.4.10883 fatcat:q4t5zj7x2bcjno46oee3q2lsxi

Trust and Recommendations [chapter]

Patricia Victor, Martine De Cock, Chris Cornelis
2010 Recommender Systems Handbook  
a recommender system, studying the effect of involving distrust in the recommendation process, and investigating the potential of other types of social relationships.  ...  Recommendation technologies and trust metrics constitute the two pillars of trust-enhanced recommender systems.  ...  Trust-based filtering Similar to other trust-enhanced techniques, the values that are obtained through the trust metric are used as weights in the recommendation process.  ... 
doi:10.1007/978-0-387-85820-3_20 fatcat:m2lxaodjjfhz3nrtdiiq25mhq4

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.  ...  Along with trust generation percentile of profile matching is also considered for personal recommendation.  ...  The recommendations are based on aggregated information collected from various sources across the organization and are displayed in a widget, which is part of a popular enhanced employee directory.  ... 
doi:10.5120/18254-9335 fatcat:n2ggtvczzjbfdaygmjwrbcnf3e

Trust- and Distrust-Based Recommendations for Controversial Reviews

Patricia Victor, Chris Cornelis, Martine De Cock, Ankur M. Teredesai
2011 IEEE Intelligent Systems  
they succeed in utilizing the additional trust and distrust information to their advantage.  ...  We compare the performance of several well-known trustenhanced techniques for recommending controversial reviews from, and provide the first experimental study of using distrust in the recommendation  ...  is the direct incorporation of distrust into the recommendation process by considering distrust scores as negative weights.  ... 
doi:10.1109/mis.2011.22 fatcat:n6fxpiwgbzeyjdrxvwjikq6qnu

Neural Learning Technique Inculcation for Commended Social Network Rating (CSNR) System

K.T.Senthil Kumar, R. Ponnusamy
2017 Application and Theory of Computer Technology  
Existing techniques used matrix factorization method to avoid data lacking yet the process used many deviated methods to stop it completely affecting the trustee relationship.  ...  We propose a neural learning technique for providing commendation in Commended Social Network Rating (CSNR) the promotion also incorporates trustee and distrust relation and its learning.  ...  The context based information processing the recommendation for support the ratings of flexible and intrusions.  ... 
doi:10.22496/atct20170103123 fatcat:ipoorpcopndtdm6jy5tko3mvde

Multi-faceted trust and distrust prediction for recommender systems

Hui Fang, Guibing Guo, Jie Zhang
2015 Decision Support Systems  
Many trust-aware recommender systems have explored the value of explicit trust, which is specified by users with binary values and simply treated as a concept with a single aspect.  ...  The experimental results on real-world data sets demonstrate the effectiveness of our proposed model in further improving the performance of existing state-of-the-art trust-aware recommendation approaches  ...  The newly predicted trust and distrust values can effectively enhance the performance of the existing trust-aware recommender systems.  ... 
doi:10.1016/j.dss.2015.01.005 fatcat:zqtkarjadjfv7l7qkkcdzikwau

Trust and Knowledge Management: The Seeds of Success [chapter]

Dianne P. Ford
2004 Handbook on Knowledge Management 1  
This paper reviews the trust literature to create an understanding of the different types and bases of trust.  ...  of the possible relationships between trust and the knowledge management processes, and which processes require which type of trust for knowledge management success.  ...  Combination is the process where new explicit knowledge is created through the combination of other explicit knowledge.  ... 
doi:10.1007/978-3-540-24746-3_29 fatcat:7u62ckvtezcyla2dgn3a6tzabq

Context-sensitive Diagnosis of Quality Defects in Object-Oriented Software Systems

Jörg Rech
2009 Künstliche Intelligenz  
The central idea of the approach described in the thesis consists in exploiting information from social trust networks in order to to enhance document recommendations and document rankings.  ...  The recent success of social networks such as Friendster or Facebook with their millions of users led to the question on whether recommender systems can benefit from this data.  ...  A trust-based recommender system would advise against a forged article if its author is distrusted.  ... 
dblp:journals/ki/Rech09 fatcat:ru4x5n35cbfzrneytzetehiib4

Mood and Trust in Intuition Interactively Orchestrate Correspondence Between Implicit and Explicit Attitudes

Jeffrey R. Huntsinger
2011 Personality and Social Psychology Bulletin  
As predicted, affect served as information about chronically or temporarily accessible tendencies to trust or distrust their intuitions, with positive affect validating and negative affect invalidating  ...  The goal of the current research was to subject the prediction that affect and trust in intuition would interactively shape implicit and explicit attitude correspondence to empirical assessment.  ...  Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.  ... 
doi:10.1177/0146167211410069 pmid:21610200 fatcat:u2sqwa32ungd5baurnoe7vldtu

A Novel Trust Computation Method Based on User Ratings to Improve the Recommendation

2020 International Journal of Engineering  
However, trust statements suffer from a number of shortcomings, including the trust statements sparsity, users' inability to express explicit trust for other users in most of the existing applications.  ...  A B S T R A C T Today, the trust has turned into one of the most beneficial solutions to improve recommender systems, especially in the collaborative filtering methods.  ...  A distrust-based recommendation algorithm has been introduced that uses the distrust information to debug and filter trusted users on the web, showing that the appropriate use of this knowledge could enhance  ... 
doi:10.5829/ije.2020.33.03c.02 fatcat:fqumly7khjbbhnvuhp4gbc4xby

Gradual trust and distrust in recommender systems

Patricia Victor, Chris Cornelis, Martine De Cock, Paulo Pinheiro da Silva
2009 Fuzzy sets and systems (Print)  
However, as current trust-enhanced RSs do not work with the notion of distrust, they cannot differentiate unknown users from malicious users, nor represent inconsistency.  ...  Trust networks among users of a recommender system (RS) prove beneficial to the quality and amount of the recommendations.  ...  Chris Cornelis would like to thank the Research Foundation-Flanders for funding his research. The authors would like to thank for making the data available, and in particular R. Guha, R.  ... 
doi:10.1016/j.fss.2008.11.014 fatcat:juiukpffd5cjhg4lf4gans3huq

Leveraging Distrust Relations to Improve Bayesian Personalized Ranking

Yangjun Xu, Ke Xu, Yi Cai, Huaqing Min
2018 Information  
Distrust based recommender systems have drawn much more attention and became widely acceptable in recent years.  ...  The experimental results on Epinions dataset suggest that TNDBPR by leveraging trust and distrust relations can substantially increase various performance evaluations including F1 score, AUC, Precision  ...  Acknowledgments: We thank the anonymous reviewers for their comments and suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info9080191 fatcat:x7h3l2djevbuzmdw7pz54ks2zu
« Previous Showing results 1 — 15 out of 16,098 results