Comparison and Analysis of Two Approaches to Find Novel Documents out of Several Documents
Author(s) -
Anjali Sharma,
Mukesh Rawat
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016908325
Subject(s) - computer science , information retrieval , world wide web
Novelty detection system is used to extract documents with new or novel information from list of documents. Without looking for lot of redundant information, we can get useful information in a limited time. Cosine similarity and Language modeling are the two emerging techniques of information retrieval in today’s scenario. The current study performs the analysis and comparison between these two models. Keywords Cosine similarity, Information retrieval, Language modeling, Novelty detection, Smoothing
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom