On modeling of information retrieval concepts in vector spaces
ACM Transactions on Database Systems (TODS)
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Automatic text processing
Information retrieval interaction
Information retrieval interaction
Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
Vector space model of information retrieval: a reevaluation
SIGIR '84 Proceedings of the 7th annual international ACM SIGIR conference on Research and development in information retrieval
The Geometry of Information Retrieval
The Geometry of Information Retrieval
Utilizing a geometry of context for enhanced implicit feedback
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A basis for information retrieval in context
ACM Transactions on Information Systems (TOIS)
Naming functions for the vector space model
ECIR'07 Proceedings of the 29th European conference on IR research
A general method of mining Chinese web documents based on GA&SA and position-factors
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
QI'11 Proceedings of the 5th international conference on Quantum interaction
Modeling the evolution of context in information retrieval
FDIA'08 Proceedings of the 2nd BCS IRSG conference on Future Directions in Information Access
Relevance feedback method based on vector space basis change
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
CXT-cube: contextual text cube model and aggregation operator for text OLAP
Proceedings of the sixteenth international workshop on Data warehousing and OLAP
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In this paper, context is modeled by vector space bases and its evolution is modeled by linear transformations from one base to another. Each document or query can be associated to a distinct base, which corresponds to one context. Also, algorithms are proposed to discover contexts from document, query or groups or them. Linear algebra can thus by employed in a mathematical framework to process context, its evolution and application.