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
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
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
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
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
Understanding and improving automated collaborative filtering systems
Understanding and improving automated collaborative filtering systems
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
'I didn't buy it for myself' privacy and ecommerce personalization
Proceedings of the 2003 ACM workshop on Privacy in the electronic society
'I didn't buy it for myself': privacy and Ecommerce personalization
Designing personalized user experiences in eCommerce
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
Personalized e-learning system using Item Response Theory
Computers & Education
IEEE Transactions on Knowledge and Data Engineering
Expert Systems with Applications: An International Journal
Discovering cohesive subgroups from social networks for targeted advertising
Expert Systems with Applications: An International Journal
Using contextual information and multidimensional approach for recommendation
Expert Systems with Applications: An International Journal
A Hybrid System: Neural Network with Data Mining in an e-Learning Environment
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Exploiting Positive and Negative Graded Relevance Assessments for Content Recommendation
WAW '09 Proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph
A personalized recommender system for digital libraries
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web
Task-based K-Support system: disseminating and sharing task-relevant knowledge
Expert Systems with Applications: An International Journal
Coauthorship networks and academic literature recommendation
Electronic Commerce Research and Applications
The task-dependent effect of tags and ratings on social media access
ACM Transactions on Information Systems (TOIS)
Connecting with the collective: self-contained reranking for collaborative recommendation
Proceedings of the 1st ACM international workshop on Connected multimedia
Integrating information extraction agents into a tourism recommender system
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Incorporating context into recommender systems: an empirical comparison of context-based approaches
Electronic Commerce Research
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
An adaptive rule-based approach for managing situation-awareness
Expert Systems with Applications: An International Journal
Hybreed: A software framework for developing context-aware hybrid recommender systems
User Modeling and User-Adapted Interaction
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Recommender systems, also known as collaborative filtering systems, predict a user's current interest in unseen items based on ratings or recommendations from other people. Users are typically asked to rate items (such as movies) that they have already seen or experienced. The recommender system then matches each user up with other people, known as neighbors, who have given similar ratings and recommends items that the user's neighbors have rated highly. Such recommender systems assume that a user's interest is based solely on historical ratings data and is independent of the user's current task. In reality, the user's current context or task greatly affects the value of a recommendation. This article presents a new approach that provides task-focused recommendation that is independent of the type of content being recommended. The authors have implemented the proposed system on a movie recommendation site and validated it with empirical results from user studies.