Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
ACM Computing Surveys (CSUR)
Privacy in e-commerce: examining user scenarios and privacy preferences
Proceedings of the 1st ACM conference on Electronic commerce
Evaluating the Scalability of Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
Artificial Intelligence - Special issue on Intelligent internet systems
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Agent-oriented technology in support of e-business
Communications of the ACM
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Peer-to-peer based recommendations for mobile commerce
WMC '01 Proceedings of the 1st international workshop on Mobile commerce
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Tapestry: a fault-tolerant wide-area application infrastructure
ACM SIGCOMM Computer Communication Review
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
Machine Learning
Distributed Systems: Principles and Paradigms
Distributed Systems: Principles and Paradigms
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
X-Compass: An XML Agent for Supporting User Navigation on the Web
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
A Multi-agent Reflective Architecture for User Assistance and Its Application to E-commerce
CIA '02 Proceedings of the 6th International Workshop on Cooperative Information Agents VI
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Mining customer product ratings for personalized marketing
Decision Support Systems - Special issue: Web data mining
Collaborative Filtering with Privacy
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
Scaling End-to-End Multicast Transports with a Topologically-Sensitive Group Formation Protocol
ICNP '99 Proceedings of the Seventh Annual International Conference on Network Protocols
Data Mining Algorithms for Web Pre-Fetching
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
PocketLens: Toward a personal recommender system
ACM Transactions on Information Systems (TOIS)
Market-based recommendation: Agents that compete for consumer attention
ACM Transactions on Internet Technology (TOIT)
When Media Gets Wise: collaborative filtering with mobile media agents
Proceedings of the 11th international conference on Intelligent user interfaces
Mobile Agents in a Multi-Agent E-Commerce System
SYNASC '05 Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
MASHA: A multi-agent system handling user and device adaptivity of Web sites
User Modeling and User-Adapted Interaction
A user-oriented contents recommendation system in peer-to-peer architecture
Expert Systems with Applications: An International Journal
EC-XAMAS: SUPPORTING E-COMMERCE ACTIVITIES BY AN XML-BASED ADAPTIVE MULTI-AGENT SYSTEM
Applied Artificial Intelligence
MobHinter: epidemic collaborative filtering and self-organization in mobile ad-hoc networks
Proceedings of the 2008 ACM conference on Recommender systems
Proceedings of the 18th international conference on World wide web
A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
MUADDIB: A distributed recommender system supporting device adaptivity
ACM Transactions on Information Systems (TOIS)
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Expert Systems with Applications: An International Journal
Feature-based recommendations for one-to-one marketing
Expert Systems with Applications: An International Journal
Editorial: Intelligent distributed information systems
Information Sciences: an International Journal
A highly adaptive recommender system based on fuzzy logic for B2C e-commerce portals
Expert Systems with Applications: An International Journal
Survey of clustering algorithms
IEEE Transactions on Neural Networks
Recommending multimedia web services in a multi-device environment
Information Systems
A topic-based recommender system for electronic marketplace platforms
Expert Systems with Applications: An International Journal
Multi-agent technology and ontologies to support personalization in B2C E-Commerce
Electronic Commerce Research and Applications
Clustering-based diversity improvement in top-N recommendation
Journal of Intelligent Information Systems
Statistical user model supported by R-Tree structure
Applied Intelligence
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Traditional recommender systems for e-Commerce support the customers' activities providing them with useful suggestions about available products in Web stores. To this purpose, in an agent-based context, each customer is often associated with a customer agent that interacts with the site agent associated with the visited e-Commerce Web site. In presence of a high number of interactions between customers and Web sites, the generation of recommendations can be a heavy task for both these agents. Moreover, customers can navigate on the Web by using different devices having different characteristics that may influence customer's preferences. In this paper we propose a new multi-agent system, called ARSEC, where each device exploited by a customer is associated with a device agent that autonomously monitors his/her behaviour. Furthermore, each customer is associated with a customer agent that collects in a global profile the information provided by his/her device agents and each e-Commerce Web site is associated with a seller agent. Based on the similarity existing among the global profiles the customers are partitioned in clusters, each one managed by a counsellor agent. Recommendations are generated in ARSEC as result of the collaboration between the seller agent and some counsellor agents associated with the customer. The usage of the device agents leads to generating recommendations taking into account the device currently used, while the fully decentralized architecture introduces a strong reduction of the time costs. Some experimental results are presented to show the significant advantages obtained by ARSEC in terms of recommendation effectiveness with respect to other well-known agent-based recommenders.