Algorithms for clustering data
Algorithms for clustering data
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
One-to-one marketing on the internet
ICIS '99 Proceedings of the 20th international conference on Information Systems
Mastering Data Mining: The Art and Science of Customer Relationship Management
Mastering Data Mining: The Art and Science of Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Art and Theory of Dynamic Programming
Art and Theory of Dynamic Programming
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Commercial Tools for the Development of Personalized Web Applications: A Survey
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
A survey of data mining and knowledge discovery software tools
ACM SIGKDD Explorations Newsletter
Dynamic Programming
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
ACM Transactions on Information Systems (TOIS)
PocketLens: Toward a personal recommender system
ACM Transactions on Information Systems (TOIS)
A novel particle swarm optimization for multiple campaigns assignment problem
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Expert Systems with Applications: An International Journal
International Journal of Electronic Finance
An efficient approach for building customer profiles from business data
Expert Systems with Applications: An International Journal
New theoretical findings in multiple personalized recommendations
Proceedings of the 2010 ACM Symposium on Applied Computing
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It is crucial to maximize targeting efficiency and customer satisfaction in personalized marketing. State-of-the-art techniques for targeting focus on the optimization of individual campaigns. Our motivation is the belief that the effectiveness of a campaign with respect to a customer is affected by how many precedent campaigns have been recently delivered to the customer. We raise the multiple recommendation problem, which occurs when performing several personalized campaigns simultaneously. We formulate the multicampaign assignment problem to solve this issue and propose algorithms for the problem. The algorithms include dynamic programming and efficient heuristic methods. We verify by experiments the effectiveness of the problem formulation and the proposed algorithms.