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
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Mining navigation history for recommendation
Proceedings of the 5th international conference on Intelligent user interfaces
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Effective personalization based on association rule discovery from web usage data
Proceedings of the 3rd international workshop on Web information and data management
Mining sequential patterns with constraints in large databases
Proceedings of the eleventh international conference on Information and knowledge management
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
User Modeling for Adaptive News Access
User Modeling and User-Adapted Interaction
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Evaluating the markov assumption for web usage mining
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
Selective Markov models for predicting Web page accesses
ACM Transactions on Internet Technology (TOIT)
FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs
Proceedings of the 6th annual ACM international workshop on Web information and data management
Time weight collaborative filtering
Proceedings of the 14th ACM international conference on Information and knowledge management
Mining longest repeating subsequences to predict world wide web surfing
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Robustness of collaborative recommendation based on association rule mining
Proceedings of the 2007 ACM conference on Recommender systems
It takes variety to make a world: diversification in recommender systems
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Collaborative filtering with temporal dynamics
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Personalized recommendation based on the personal innovator degree
Proceedings of the third ACM conference on Recommender systems
Mining Indirect Association Rules for Web Recommendation
International Journal of Applied Mathematics and Computer Science
An MDP-based recommender system
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Beyond accuracy: evaluating recommender systems by coverage and serendipity
Proceedings of the fourth ACM conference on Recommender systems
Beyond the usual suspects: context-aware revisitation support
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Classification of user interest patterns using a virtual folksonomy
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Information seeking: convergence of search, recommendations, and advertising
Communications of the ACM
A layered approach to revisitation prediction
ICWE'11 Proceedings of the 11th international conference on Web engineering
Recommendation systems with complex constraints: A course recommendation perspective
ACM Transactions on Information Systems (TOIS)
Client- and server-side revisitation prediction with SUPRA
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Challenging the long tail recommendation
Proceedings of the VLDB Endowment
Collaborative filtering by analyzing dynamic user interests modeled by taxonomy
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
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We study recommendations in applications where there are temporal patterns in the way items are consumed or watched. For example, a student who has taken the Advanced Algorithms course is more likely to be interested in Convex Optimization, but a student who has taken Convex Optimization need not be interested in Advanced Algorithms in the future. Similarly, a person who has purchased the Godfather I DVD on Amazon is more likely to purchase Godfather II sometime in the future (though it is not strictly necessary to watch/purchase Godfather I beforehand). We propose a precedence mining model that estimates the probability of future consumption based on past behavior. We then propose Recsplorer: a suite of recommendation algorithms that exploit the precedence information. We evaluate our algorithms, as well as traditional recommendation ones, using a real course planning system. We use existing transcripts to evaluate how well the algorithms perform. In addition, we augment our experiments with a user study on the live system where users rate their recommendations.