Bipartite graphs and their applications
Bipartite graphs and their applications
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Support vector machines: hype or hallelujah?
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Homophily in online dating: when do you like someone like yourself?
CHI '05 Extended Abstracts on Human Factors in Computing Systems
IEEE Transactions on Knowledge and Data Engineering
Modeling and predicting personal information dissemination behavior
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Introduction to Statistical Methods and Data Analysis (with CD-ROM)
Introduction to Statistical Methods and Data Analysis (with CD-ROM)
Different Aspects of Social Network Analysis
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Assessing data mining results via swap randomization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Connectivity structure of bipartite graphs via the KNC-plot
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Planetary-scale views on a large instant-messaging network
Proceedings of the 17th international conference on World Wide Web
Depth-first search and linear grajh algorithms
SWAT '71 Proceedings of the 12th Annual Symposium on Switching and Automata Theory (swat 1971)
Make new friends, but keep the old: recommending people on social networking sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Who's Right and Who Writes: People, Profiles, Contacts, and Replies in Online Dating
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Relevance and ranking in online dating systems
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Mining advisor-advisee relationships from research publication networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
The community-search problem and how to plan a successful cocktail party
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
RECON: a reciprocal recommender for online dating
Proceedings of the fourth ACM conference on Recommender systems
Improving Matching Process in Social Network
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Improving matching process in social network using implicit and explicit user information
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
A social approach to context-aware retrieval
World Wide Web
A study of homophily on social media
World Wide Web
Individual doctor recommendation model on medical social network
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
A people-to-people recommendation system using tensor space models
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Finding email correspondents in online social networks
World Wide Web
Creation and growth of online social network
World Wide Web
Hi-index | 0.00 |
A people-to-people matching system (or a match-making system) refers to a system in which users join with the objective of meeting other users with the common need. Some real-world examples of these systems are employer-employee (in job search networks), mentor-student (in university social networks), consume-to-consumer (in marketplaces) and male-female (in an online dating network). The network underlying in these systems consists of two groups of users, and the relationships between users need to be captured for developing an efficient match-making system. Most of the existing studies utilize information either about each of the users in isolation or their interaction separately, and develop recommender systems using the one form of information only. It is imperative to understand the linkages among the users in the network and use them in developing a match-making system. This study utilizes several social network analysis methods such as graph theory, small world phenomenon, centrality analysis, density analysis to gain insight into the entities and their relationships present in this network. This paper also proposes a new type of graph called "attributed bipartite graph". By using these analyses and the proposed type of graph, an efficient hybrid recommender system is developed which generates recommendation for new users as well as shows improvement in accuracy over the baseline methods.