A theory of diagnosis from first principles
Artificial Intelligence
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Process-Centered Requirements Engineering
Process-Centered Requirements Engineering
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers
User Modeling and User-Adapted Interaction
Two methods for enhancing mutual awareness in a group recommender system
Proceedings of the working conference on Advanced visual interfaces
An Approach to Constructing Feature Models Based on Requirements Clustering
RE '05 Proceedings of the 13th IEEE International Conference on Requirements Engineering
Group recommender systems: a critiquing based approach
Proceedings of the 11th international conference on Intelligent user interfaces
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Towards automated requirements prioritization and triage
Requirements Engineering
Task-First or Context-First? Tool Integration Revisited
ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
From collective knowledge to intelligence: pre-requirements analysis of large and complex systems
Proceedings of the 1st Workshop on Web 2.0 for Software Engineering
Towards systematic analysis of continuous user input
Proceedings of the 4th international workshop on Social software engineering
Group decision support for requirements negotiation
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
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Requirements engineering (RE) is considered as one of the most critical phases in the software life-cycle, and poorly implemented RE processes are among the major risks for project failure. Stakeholders are often faced with the challenge that the complexity of information outstrips their capability to survey it and to decide about which requirements should be taken into account. Additionally, preferences regarding a set of requirements are typically not known beforehand but constructed within the scope of a decision making process. In this paper we introduce a simple application scenario and discuss recommendation and decision technologies which can be exploited for proactively supporting stakeholders in their decision making.