Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
The formalism of probability theory in IR: a foundation or an encumbrance?
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Applying Bayesian networks to information retrieval
Communications of the ACM
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Foundations of Probabilistic and Utility-Theoretic Indexing
Journal of the ACM (JACM)
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Continual computation policies for utility-directed prefetching
Proceedings of the seventh international conference on Information and knowledge management
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Proceedings of the 5th international conference on Intelligent user interfaces
SUITOR: an attentive information system
Proceedings of the 5th international conference on Intelligent user interfaces
The interactive chef: a task-sensitive assistant
Proceedings of the 7th international conference on Intelligent user interfaces
An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Dealing with ghosts: Managing the user experience of autonomic computing
IBM Systems Journal
Bayesian networks and information retrieval: an introduction to the special issue
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Data mining of Bayesian networks using cooperative coevolution
Decision Support Systems
Using machine learning techniques to interpret WH-questions
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Spatial bayesian learning algorithms for geographic information retrieval
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Using computers to diagnose computer problems
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
Dialogue act recognition under uncertainty using bayesian networks
Natural Language Engineering
Agent learning in the multi-agent contracting system [MACS]
Decision Support Systems
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Time series analysis of a Web search engine transaction log
Information Processing and Management: an International Journal
Bayesian network based business information retrieval model
Knowledge and Information Systems
Recognizing intentions from rejoinders in a Bayesian interactive argumentation system
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Goal detection from natural language queries
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Modified algorithm for efficient reasoning in qualitative belief networks
ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
Searching for software learning resources using application context
Proceedings of the 24th annual ACM symposium on User interface software and technology
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
| Hi-index | 0.00 |
People using consumer software applications typically do not use technical jargon when querying an online database of help topics. Rather, they attempt to communicate their goals with common words and phrases that describe software functionality in terms of structure and objects they understand. We describe a Bayesian approach to modeling the relationship between words in a user's query for assistance and the informational goals of the user. After reviewing the general method, we describe several extensions that center on integrating additional distinctions and structure about language usage and user goals into the Bayesian models.