Search problems in vector spaces
… of the basic combinatorial search problem: let \(q\) be a prime power and \(\mathrm{GF}(q)\)
the finite field of \(q\) elements. Let \(V\) denote an \(n\)-dimensional vector space over \(\…
the finite field of \(q\) elements. Let \(V\) denote an \(n\)-dimensional vector space over \(\…
A vector space search engine for web services
… In this paper we presented a novel distributed Web service search engine based on the
Vector Space Model for information retrieval. We gave an overview of the underlying …
Vector Space Model for information retrieval. We gave an overview of the underlying …
Matrices, vector spaces, and information retrieval
… between terms can be discovered in the vector space model. Such comparisons aid in the
refinement of searches based on the vector space model. The SVD allows such comparisons …
refinement of searches based on the vector space model. The SVD allows such comparisons …
Searching in metric spaces
… The problem of searching the elements of a set that are close … space, instead of the more
restricted case of a vector space. … the intrinsic difficulty of the search problem. This includes a …
restricted case of a vector space. … the intrinsic difficulty of the search problem. This includes a …
Learning latent vector spaces for product search
… We introduce a novel latent vector space model that … vector space models (LSI, LDA and
word2vec) and evaluate it as a feature in a learning to rank setting. Our latent vector space …
word2vec) and evaluate it as a feature in a learning to rank setting. Our latent vector space …
Applying genetic algorithms to information retrieval using vector space model
LMQ Abualigah, ES Hanandeh - International Journal of Computer …, 2015 - papers.ssrn.com
… In this study, the researcher explored the problems embedded in this process, attempted
to find solutions such as the way of choosing mutation probability and fitness function, and …
to find solutions such as the way of choosing mutation probability and fitness function, and …
On modeling of information retrieval concepts in vector spaces
SKM Wong, W Ziarko, VV Raghavan… - ACM Transactions on …, 1987 - dl.acm.org
… vector space model. In Section 4, an overview of the steps involved in the proposed
generalization of the vector space … The basic premise in the vector space model is that the various …
generalization of the vector space … The basic premise in the vector space model is that the various …
Neural vector spaces for unsupervised information retrieval
… in a re-ranking scenario and, consequently, we compare NVSM only to latent vector
space models that can be queried using a nearest neighbor search. The following latent …
space models that can be queried using a nearest neighbor search. The following latent …
Anomalies and vector space search: Tools for S-box analysis
X Bonnetain, L Perrin, S Tian - … Conference on the Theory and Application …, 2019 - Springer
… of structures with a high anomaly can be performed using a vector space search. Vector
Space Search. We provide an efficient algorithm performing this search: given a set \(\mathcal {S…
Space Search. We provide an efficient algorithm performing this search: given a set \(\mathcal {S…
Memory vectors for similarity search in high-dimensional spaces
… the problem of searching for vectors similar to a query vector in a large database. The typical
applications are the search … where documents are represented by feature vectors [1]. In this …
applications are the search … where documents are represented by feature vectors [1]. In this …