Discovering shared interests using graph analysis
Communications of the ACM - Special issue on internetworking
SIGCPR '96 Proceedings of the 1996 ACM SIGCPR/SIGMIS conference on Computer personnel research
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Unintrusive customization techniques for Web advertising
WWW '99 Proceedings of the eighth international conference on World Wide Web
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
An entropy approach to unintrusive targeted advertising on the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Improvements in practical aspects of optimally scheduling web advertising
Proceedings of the 11th international conference on World Wide Web
Online Communities: Designing Usability and Supporting Socialbilty
Online Communities: Designing Usability and Supporting Socialbilty
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Content-Independent Task-Focused Recommendation
IEEE Internet Computing
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining knowledge-sharing sites for viral marketing
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A graph model for E-commerce recommender systems
Journal of the American Society for Information Science and Technology
SNACK: incorporating social network information in automated collaborative filtering
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Improving peer-to-peer search performance through intelligent social search
Expert Systems with Applications: An International Journal
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
Predicting the labels of an unknown graph via adaptive exploration
Theoretical Computer Science
A diffusion mechanism for social advertising over microblogs
Decision Support Systems
International Journal of Web Based Communities
CooL-AgentSpeak: Endowing AgentSpeak-DL agents with plan exchange and ontology services
Web Intelligence and Agent Systems
Hi-index | 12.06 |
In this paper, we propose a framework that utilizes the concept of a social network for the targeted advertising of products. This approach discovers the cohesive subgroups from a customer's social network as derived from the customer's interaction data, and uses them to infer the probability of a customer preferring a product category from transaction records. This information is then used to construct a targeted advertising system. We evaluate the proposed approach by using both synthetic data and real-world data. The experimental results show that our approach does well at recommending relevant products.