Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Software Requirements
A Cost-Value Approach for Prioritizing Requirements
IEEE Software
Lessons from a Decade of Group Support Systems Research
HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 3: Collaboration Systems and Technology
Shilling recommender systems for fun and profit
Proceedings of the 13th international conference on World Wide Web
Detecting Profile Injection Attacks in Collaborative Recommender Systems
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
A Clustering Technique for Early Detection of Dominant and Recessive Cross-Cutting Concerns
EARLYASPECTS '07 Proceedings of the Early Aspects at ICSE: Workshops in Aspect-Oriented Requirements Engineering and Architecture Design
Automated classification of non-functional requirements
Requirements Engineering
Attacks and Remedies in Collaborative Recommendation
IEEE Intelligent Systems
Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness
ACM Transactions on Internet Technology (TOIT)
Clustering support for automated tracing
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Model-based collaborative filtering as a defense against profile injection attacks
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Collaborative filtering recommender systems
The adaptive web
Content-based recommendation systems
The adaptive web
A consensus based approach to constrained clustering of software requirements
Proceedings of the 17th ACM conference on Information and knowledge management
A recommender system for requirements elicitation in large-scale software projects
Proceedings of the 2009 ACM symposium on Applied Computing
Multimedia Tools and Applications
Information and Software Technology
StakeSource2.0: using social networks of stakeholders to identify and prioritise requirements
Proceedings of the 33rd International Conference on Software Engineering
Mining textual requirements to assist architectural software design: a state of the art review
Artificial Intelligence Review
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Ultra-Large-Scale (ULS) software projects are anticipated to be highly complex and to involve thousands, or even hundreds of thousands of stakeholders. Unfortunately numerous accounts of recent failures and challenges in industrial and governmental projects have demonstrated that current requirements elicitation and prioritization practices do not scale adequately to address the needs of large projects. This position paper directly addresses this problem through proposing an open, inclusive, and robust elicitation and prioritization process that utilizes data-mining and recommender technologies to facilitate the active involvement of many thousands of stakeholders. We believe that the approach described in this paper is a fundamental building block towards addressing higher level requirements problems facing ULS Systems.