z-logo
open-access-imgOpen Access
Relevance Analysis for Document Retrieval
Author(s) -
Eric LaBouve
Publication year - 2019
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.15368/theses.2018.159
Subject(s) - information retrieval , computer science , relevance (law) , query expansion , set (abstract data type) , ambiguity , term (time) , concept search , document retrieval , task (project management) , context (archaeology) , natural language processing , focus (optics) , search engine , web search query , paleontology , physics , management , optics , quantum mechanics , biology , political science , law , economics , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom