Performance Analysis of Information Retrieval Models on Word Pair Index Structure

2018 ◽  
pp. 175-186
Author(s):  
N. Karthika ◽  
B. Janet
Keyword(s):  
Information Retrieval ◽  
Performance Analysis ◽  
Word Pair ◽  
Index Structure ◽  
Retrieval Models

A Survey on Information Retrieval Models, Techniques and Applications

2017 ◽  
Vol 7 (7) ◽  
pp. 16 ◽  
Author(s):  
Ndengabaganizi Tonny James ◽  
Rajkumar Kannan
Keyword(s):  
Information Retrieval ◽  
Retrieval Models ◽  
Knowledge Based ◽  
Long Time

It has been long time many people have realized the importance of archiving and finding information. With the advent of computers, it became possible to store large amounts of information; and finding useful information from such collections became a necessity. Over the last forty years, Information Retrieval (IR) has matured considerably. Several IR systems are used on an everyday basis by a wide variety of users. Information retrieval (IR) is generally concerned with the searching and retrieving of knowledge-based information from database. In this paper, we will discuss about the various models and techniques and for information retrieval. We are also providing the overview of traditional IR models.

Kansei Database and AR*-Tree for Speeding up the Retrieval

2010 ◽  
pp. 111-125 ◽  
Author(s):  
Yaokai Feng
Keyword(s):  
Information Retrieval ◽  
Key Words ◽  
Multimedia Retrieval ◽  
Index Structure ◽  
Multidimensional Indexing ◽  
General Flow ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Speed Up ◽  
Text Information

Along with Kansei information being successfully introduced to information retrieval systems, particularly multimedia retrieval systems, many Kansei retrieval systems have been implemented in the past two decades. And, it has become clear that the traditional multimedia retrieval systems using key-words or/and other text information are not enough in many applications, because that they can not deal with sensitive words reflecting user’s subjectivity. In this chapter, Kansei retrieval systems efficiently taking user’s subjectivity into account will be discussed in detail. Like many traditional retrieval systems, Kansei retrieval systems are also based on databases system, which are called Kansei databases. After roughly introducing some existing Kansei retrieval systems is a general flow for designing Kansei retrieval systems. Also, we will discuss how to speed up the Kansei retrieval systems by using multidimensional indexing technologies and you will learn that our proposed multidimensional index structure, Adaptive R*-tree (AR*-tree for short), is more suitable to Kansei retrieval systems than the traditional multidimensional indexing technologies.

Sign in / Sign up

Export Citation Format

Share Document