Counting your customers: who are they and what will they do next?
Management Science
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Statistics and data mining techniques for lifetime value modeling
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Web usage mining for Web site evaluation
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Personalization from incomplete data: what you don't know can hurt
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
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
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Customer lifetime value modeling and its use for customer retention planning
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Probabilistic User Behavior Models
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Customer Loyalty and Supplier Quality Competition
Management Science
Commissioned Paper: Telephone Call Centers: Tutorial, Review, and Research Prospects
Manufacturing & Service Operations Management
Compound Critiques for Conversational Recommender Systems
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
IEEE Transactions on Knowledge and Data Engineering
Personalization technologies: a process-oriented perspective
Communications of the ACM - The digital society
ICML '06 Proceedings of the 23rd international conference on Machine learning
Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever?
IEEE Transactions on Knowledge and Data Engineering
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Introduction to the special issue on statistical and probabilistic methods for user modeling
User Modeling and User-Adapted Interaction
The provenance of electronic data
Communications of the ACM - The psychology of security: why do good users make bad decisions?
A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites
IEEE Transactions on Knowledge and Data Engineering
Accelerating customer relationships: using crm and relationship technologies™
Accelerating customer relationships: using crm and relationship technologies™
Users in Volatile Communities: Studying Active Participation and Community Evolution
UM '07 Proceedings of the 11th international conference on User Modeling
Using Context to Improve Predictive Modeling of Customers in Personalization Applications
IEEE Transactions on Knowledge and Data Engineering
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Preface to the special issue on data mining for personalization
User Modeling and User-Adapted Interaction
A Learning Approach for Interactive Marketing to a Customer Segment
Operations Research
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Guest editorial: special issue on a decade of mining the Web
Data Mining and Knowledge Discovery
The role of intelligent agents and data mining in electronic partnership management
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
After a decade of successful development of new Web mining technologies, it is a good time to examine novel promising areas that will advance Web mining over the next decade. This paper argues that CRM is such an area that can benefit from and contribute to further advancements of the Web mining research. This is the case because CRM is an underexplored field that has many open and interesting problems important to the industry and academia. This paper reviews some of the key aspects of CRM, describes certain problems and promising research directions in the field, and discusses how Web mining can contribute to solving these problems.