Trust-aware location recommendation for user groups

Teoman, Hüseyin Alper
Karagöz, Pınar


Cantürk, Deniz; Karagöz, Pınar; Department of Computer Engineering (2021-8-9)
Users can share their location with other social network users through location-embedded information in LBSNs (Location-Based Social Network). LBSNs contain useful resources, such as user check-in activities, for building a personalized recommender system. Trust in social networks is another important concept that has been integrated into a recommendation system in various settings. In this thesis, we propose two novel techniques for location recommendation, TLoRW and SgWalk, to improve recommendation perfo...
Trust-aware location recommendation in location-based social networks: A graph-based approach
Canturk, Deniz; Karagöz, Pınar; Kim, Sang-Wook; Toroslu, İsmail Hakkı (2023-03-01)
© 2022 Elsevier LtdWith the increase in the use of mobile devices having location-related capabilities, the use of Location-Based Social Networks (LBSN) has also increased, allowing users to share location-embedded information with other users in the social network. By leveraging check-in activities provided by LBSNs, personalized recommendations can be provided. Trust is an important concept in social networks to improve recommendation quality. In this work, we develop a method for predicting the trust sco...
Trust attribution in collaborative robots: An experimental investigation of non-verbal cues in a virtual human-robot interaction setting
Ahmet Meriç, Özcan; Şahin, Erol; Acartürk, Cengiz; Department of Bioinformatics (2021-6)
This thesis reports the development of non-verbal HRI (Human-Robot Interaction) behaviors on a robotic manipulator, evaluating the role of trust in collaborative assembly tasks. Towards this end, we developed four non-verbal HRI behaviors, namely gazing, head nodding, tilting, and shaking, on a UR5 robotic manipulator. We used them under different degrees of trust of the user to the robot actions. Specifically, we used a certain head-on neck posture for the cobot using the last three links along with the gr...
Trust Based Recommendation Systems
Ozsoy, Makbule Gulcin; Polat, Faruk (2013-08-28)
It is difficult for the users to reach the most appropriate and reliable item for them among vast number of items and comments on these items. Recommendation systems and trust/reputation systems are one of the solutions to deal with this problem with the help of personalized services. These systems suggest items to the user by estimating the ratings that user would give to them. Use of trust data for giving recommendation has emerged as a new way for giving better recommendations. In the literature, it is s...
Trust Modeling in Recommendation
Demirci, Mehmet Utku; Karagöz, Pınar (2021-12-09)
In social networks, trust is a fundamental notion aecting the na-ture and the strength of ties between individuals. It is also a pieceof useful auxiliary information for improving the performance ofrecommendation systems. The number of ratings given by a user isminimal compared to all items in popular, widely-used e-commercesites. Therefore, the user-item matrix that is used in collaborativeltering suers from data sparsity, resulting in poor recommenda-tion quality. Another issue is the cold start proble...
Citation Formats
H. A. Teoman and P. Karagöz, “Trust-aware location recommendation for user groups,” APPLIED COMPUTING REVIEW, vol. 22, no. 3, pp. 39–55, 2022, Accessed: 00, 2022. [Online]. Available: