Recommendations in taste related domains: collaborative filtering vs. social filtering
Proceedings of the 2007 international ACM conference on Supporting group work
Utilizing Physical and Social Context to Improve Recommender Systems
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
PITTCULT: trust-based cultural event recommender
Proceedings of the 2008 ACM conference on Recommender systems
Do you know?: recommending people to invite into your social network
Proceedings of the 14th international conference on Intelligent user interfaces
Personalized recommendation of social software items based on social relations
Proceedings of the third ACM conference on Recommender systems
Increasing engagement through early recommender intervention
Proceedings of the third ACM conference on Recommender systems
Users and trust: the new threats, the new possibilities
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: applications and services
Social networks and interest similarity: the case of CiteULike
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Social media recommendation based on people and tags
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Interactive recommendations in social endorsement networks
Proceedings of the fourth ACM conference on Recommender systems
A study of heterogeneity in recommendations for a social music service
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Dependable filtering: Philosophy and realizations
ACM Transactions on Information Systems (TOIS)
Associative face co-occurrence networks for recommending friends in social networks
Proceedings of second ACM SIGMM workshop on Social media
Improving recommendations using WatchingNetworks in a social tagging system
Proceedings of the 2011 iConference
Guess who?: enriching the social graph through a crowdsourcing game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Power to the people: exploring neighbourhood formations in social recommender system
Proceedings of the fifth ACM conference on Recommender systems
Social media filtering based on collaborative tagging in semantic space
Multimedia Tools and Applications
Leveraging personal photos to inferring friendships in social network services
Expert Systems with Applications: An International Journal
A comparative study of heterogeneous item recommendations in social systems
Information Sciences: an International Journal
Like-Minded communities: bringing the familiarity and similarity together
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
SNAIR: a framework for personalised recommendations based on social network analysis
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
A Community Based Algorithm for Deriving Users' Profiles from Egocentrics Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Knowledge-Based Systems
Proceedings of the 22nd international conference on World Wide Web
Socially-aware video recommendation using users' profiles and crowdsourced annotations
Proceedings of the 2nd international workshop on Socially-aware multimedia
A method of feature selection and sentiment similarity for Chinese micro-blogs
Journal of Information Science
Exploiting two-faceted web of trust for enhanced-quality recommendations
Expert Systems with Applications: An International Journal
An intelligent web recommendation system for ubiquitous geolocation awareness
International Journal of Ad Hoc and Ubiquitous Computing
| Hi-index | 0.00 |
The Internet has not only brought us more information and choice, but has also increased the burden of making a choice. Recommender systems aim to address this problem by providing personalised recommendations in areas such as music, films or books. Research on recommender systems has focused on improving the matching algorithms. The research presented in this paper takes a user-centred approach. Since recommendations are usually presented as lists of items, without explanations or justifications, users struggle to find out how appropriate recommendations are for them. Our research has shown that the relationship between advice-seeker and recommender is extremely important, so ways of indicating social closeness and taste overlap are required. We thus suggest that drawing on similarity and familiarity between the user and the persons who have rated the items can aid judgement and decision making. This was tested in an experiment, which carefully controlled familiarity, profile similarity and rating-overlap between the user and those rating items. The results help us understand the decision-making processes in an on-line context, and form the basis of a usercentred recommender system approach. We suggest that recommender systems can be improved by combining the benefits of social networking applications -- such as explicit networks of trust -- with the matching capabilities of recommender systems.