Computational geometry: an introduction
Computational geometry: an introduction
Pictures of relevance: a geometric analysis of similarity measures
Journal of the American Society for Information Science
Adaptive linear information retrieval models
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Linear structure in information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic text processing
A probability distribution model for information retrieval
Information Processing and Management: an International Journal - Modeling data, information and knowledge
A probabilistic inference model for information retrieval
Information Systems
A Partially Supervised Learning Algorithm for Linearly Separable Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Using User Profiles in Intelligent Information Retrieval
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
System of information retrieval in XML documents
Effective databases for text & document management
Privacy preserving multi-factor authentication with biometrics
Proceedings of the second ACM workshop on Digital identity management
Privacy preserving multi-factor authentication with biometrics
Journal of Computer Security - The Second ACM Workshop on Digital Identity Management - DIM 2006
Building a framework for the probability ranking principle by a family of expected weighted rank
ACM Transactions on Information Systems (TOIS)
Representations for multi-document event clustering
Data Mining and Knowledge Discovery
Image annotation using high order statistics in non-Euclidean spaces
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
This paper analyzes the properties, structures and limitations of vector-based models for information retrieval from the computational geometry point of view. It is shown that both the pseudo-cosine and the standard vector space models can be viewed as special cases of a generalized linear model. More importantly, both the necessary and sufficient conditions have been identified, under which ranking functions such as the inner-product, cosine, pseudo-cosine, Dice, covariance and product-moment correlation measures can be used to rank the documents. The structure of the solution region for acceptable ranking is analyzed and an algorithm for finding all the solution vectors is suggested.