GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fast discovery of association rules
Advances in knowledge discovery and data mining
Data preparation for data mining
Data preparation for data mining
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
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
WordSieve: A Method for Real-Time Context Extraction
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
A graph model for E-commerce recommender systems
Journal of the American Society for Information Science and Technology
Predicting customer shopping lists from point-of-sale purchase data
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Building intelligent shopping assistants using individual consumer models
Proceedings of the 10th international conference on Intelligent user interfaces
Technology supporting business solutions
A Statistical Model for User Preference
IEEE Transactions on Knowledge and Data Engineering
Personalization technologies: a process-oriented perspective
Communications of the ACM - The digital society
Avaliação comparativa de algoritmos de personalização para direcionamento de conteúdo
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
Event sequence mining to develop profiles for computer forensic investigation purposes
ACSW Frontiers '06 Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54
An object-oriented development method for Customer Knowledge Management Information Systems
Knowledge-Based Systems
An XML-based agent model for supporting user activities on the Web
Web Intelligence and Agent Systems
Selectively acquiring ratings for product recommendation
Proceedings of the ninth international conference on Electronic commerce
Efficient and Scalable Algorithms for Inferring Likely Invariants in Distributed Systems
IEEE Transactions on Knowledge and Data Engineering
Expert Systems with Applications: An International Journal
Topic taxonomy adaptation for group profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
Using ontology network analysis for research document recommendation
Expert Systems with Applications: An International Journal
RFID-based user profiling of fashion preferences: blueprint for a smart wardrobe
International Journal of Internet Protocol Technology
Towards the novel classification schemes in digital libraries
DIWED'06 Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering
A collaborative constraint-based meta-level recommender
Proceedings of the 2008 ACM conference on Recommender systems
Building an expert travel agent as a software agent
Expert Systems with Applications: An International Journal
Using contextual information and multidimensional approach for recommendation
Expert Systems with Applications: An International Journal
Constructing a decision tree from data with hierarchical class labels
Expert Systems with Applications: An International Journal
Case-studies on exploiting explicit customer requirements in recommender systems
User Modeling and User-Adapted Interaction
The role of spatial contextual factors in mobile personalization at large sports events
Personal and Ubiquitous Computing
Grocery Product Recommendations from Natural Language Inputs
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Salesman-like recommendation system based on visitor product knowledge and browsing actions
ISTASC'09 Proceedings of the 9th WSEAS International Conference on Systems Theory and Scientific Computation
Augmenting transportation-related recommendations through data mining
International Journal of Advanced Intelligence Paradigms
New Classification Method Based on Support-Significant Association Rules Algorithm
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Feature-based recommendations for one-to-one marketing
Expert Systems with Applications: An International Journal
Mining Indirect Association Rules for Web Recommendation
International Journal of Applied Mathematics and Computer Science
Toward user patterns for online security: Observation time and online user identification
Decision Support Systems
A personalized information search process based on dialoguing agents and user profiling
ECIR'03 Proceedings of the 25th European conference on IR research
A survey of open source data mining systems
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Artificial intelligence
Expert Systems with Applications: An International Journal
Beyond the usual suspects: context-aware revisitation support
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Ubiquitous intelligent sensing system for a smart home
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
User group profile modeling based on user transactional data for personalized systems
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Adjustment of indirect association rules for the web
SOFSEM'05 Proceedings of the 31st international conference on Theory and Practice of Computer Science
Proceedings of the 21st international conference companion on World Wide Web
Customer relationship management and Web mining: the next frontier
Data Mining and Knowledge Discovery
A multi-agent recommender system for supporting device adaptivity in e-Commerce
Journal of Intelligent Information Systems
A preference scoring technique for personalized advertisements on Internet storefronts
Mathematical and Computer Modelling: An International Journal
Client- and server-side revisitation prediction with SUPRA
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Discovering patterns of online purchasing behaviour and a new-product-launch strategy
Expert Systems: The Journal of Knowledge Engineering
| Hi-index | 4.11 |
Personalization--the ability to provide content and services tailored to individuals' preferences and behavior--is an important marketing tool. The authors developed an approach that uses information from customers' transactional histories to construct individual profiles containing facts about the customer and rules describing that customer's behavior. They used data mining methods to derive behavioral rules from the data. They also developed a method for validating customers' profiles to separate "good" rules from "bad." They implemented the profile construction and validation methods using the 1:1Pro system. Including personal behavioral rules in customers' profiles makes this approach unique.Focusing on statistical validity and acceptability to an expert, the authors explain how to judge the quality of rules stored in customers' profiles. Their objective is to incorporate the concept of effectiveness in 1:1Pro. The authors propose combining the constraint specification, data mining, and rule validation stages into one system.