Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Proceedings of the 6th international conference on Intelligent user interfaces
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
netWorker - Blog it! social software is transforming the Web<\'m>again
Evaluating similarity measures: a large-scale study in the orkut social network
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Explanation in Recommender Systems
Artificial Intelligence Review
Dogear: Social bookmarking in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Corporate Blogging: Building community through persistent digital talk
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Recommendations in taste related domains: collaborative filtering vs. social filtering
Proceedings of the 2007 international ACM conference on Supporting group work
The dogear game: a social bookmark recommender system
Proceedings of the 2007 international ACM conference on Supporting group work
Harvesting with SONAR: the value of aggregating social network information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommending topics for self-descriptions in online user profiles
Proceedings of the 2008 ACM conference on Recommender systems
Tag-based filtering for personalized bookmark recommendations
Proceedings of the 17th ACM conference on Information and knowledge management
Public vs. private: comparing public social network information with email
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Do you know?: recommending people to invite into your social network
Proceedings of the 14th international conference on Intelligent user interfaces
A Survey of Explanations in Recommender Systems
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
Social search and discovery using a unified approach
Proceedings of the 20th 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
Global budgets for local recommendations
Proceedings of the fourth ACM conference on Recommender systems
Interactive recommendations in social endorsement networks
Proceedings of the fourth ACM conference on Recommender systems
Who is talking about what: social map-based recommendation for content-centric social websites
Proceedings of the fourth ACM conference on Recommender systems
Using self-defined group activities for improvingrecommendations in collaborative tagging systems
Proceedings of the fourth ACM conference on Recommender systems
Boosting social network connectivity with link revival
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Recommender systems with social regularization
Proceedings of the fourth ACM international conference on Web search and data mining
SocialSearch: enhancing entity search with social network matching
Proceedings of the 14th International Conference on Extending Database Technology
Smarter social collaboration at IBM research
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Do you want to know?: recommending strangers in the enterprise
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Proceedings of the 20th international conference companion on World wide web
Guess who?: enriching the social graph through a crowdsourcing game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites
ACM Transactions on Intelligent Systems and Technology (TIST)
Double-sided recommendations: a novel framework for recommender systems
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
All the news that's fit to read: finding and recommending news online
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Personalized activity streams: sifting through the "river of news"
Proceedings of the fifth ACM conference on Recommender systems
Interface and interaction design for group and social recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
A generalized taxonomy of explanations styles for traditional and social recommender systems
Data Mining and Knowledge Discovery
Evaluating the effectiveness of explanations for recommender systems
User Modeling and User-Adapted Interaction
Toward a social web of intelligent things
AI Communications
Crowdsourcing in the enterprise
Proceedings of the 1st international workshop on Multimodal crowd sensing
Like-Minded communities: bringing the familiarity and similarity together
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Swayed by friends or by the crowd?
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
PopCore: a system for network-centric recommendation
Proceedings of the 2013 conference on Computer supported cooperative work companion
Integrating social information into collaborative filtering for celebrities recommendation
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Personalized recommendation based on implicit social network of researchers
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Predicting User-to-content Links in Flickr Groups
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Predicting interactions in online social networks: an experiment in Second Life
Proceedings of the 4th International Workshop on Modeling Social Media
Who should I add as a "friend"?: a study of friend recommendations using proximity and homophily
Proceedings of the 4th International Workshop on Modeling Social Media
An intelligent framework for e-government personalized services
Proceedings of the 14th Annual International Conference on Digital Government Research
Maximizing acceptance probability for active friending in online social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 22nd international conference on World Wide Web
Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems
Proceedings of the 22nd international conference on World Wide Web
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Simplifying the task of group gift giving
The Personal Web
Personalized entity recommendation: a heterogeneous information network approach
Proceedings of the 7th ACM international conference on Web search and data mining
SocialSearch+: enriching social network with web evidences
World Wide Web
Informal learning recognition through a cloud ecosystem
Future Generation Computer Systems
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We study personalized recommendation of social software items, including bookmarked web-pages, blog entries, and communities. We focus on recommendations that are derived from the user's social network. Social network information is collected and aggregated across different data sources within our organization. At the core of our research is a comparison between recommendations that are based on the user's familiarity network and his/her similarity network. We also examine the effect of adding explanations to each recommended item that show related people and their relationship to the user and to the item. Evaluation, based on an extensive user survey with 290 participants and a field study including 90 users, indicates superiority of the familiarity network as a basis for recommendations. In addition, an important instant effect of explanations is found - interest rate in recommended items increases when explanations are provided.