To Evaluate The Effectiveness Of The Query Quality Prediction Model Computed Using Sr Algorithm

Abstract

We analyze the account of hard queries and suggest a novel framework to decide the degree of weakness for a keyword query over a database, manner in mind both the structure and the satisfied of the database and the query results. Researchers have future methods to envisage hard queries over unstructured text documents. We can generally categorize these methods into two groups as preretrieval and post-retrieval methods. There has not been any work on expect or analyzing the hitches of queries over databases. Researchers have future some methods to spot difficult queries over plain text document collections.

Authors and Affiliations

Uma Pullela, B. Narasimha Rao

Keywords

Related Articles

Modeling of Single-Phase Semi-Z-source Inverter

This paper presents several single-phase non-isolated semi-Z-source inverters for small distributed power generator in grid-connected applications with low cost and doubly grounded features. These semi-Z-source invert...

An Adhoc Sensor network with an Infrared Imaging System for Controlling Room air temperature in a large Auditorium building

This paper proposes an embedded wireless sensor network system for temperature control in a large auditorium. The objective is to save energy cost and reduce energy consumption. The room air temperature at various lo...

Performance Analysis of AOMDV, OLSR and DSR Routing Protocols Using UDP agents in MANETS

Mobile Ad hoc Network is a collection of mobile nodes that dynamically form a temporary network and are capable of communicating with each other without the use of a network infrastructure or any centralized administ...

Automatic Wrapper Generation for Search Engines Based on Visual Representation

Normally web databases are provides the information based on query representation. All the results are displayed without any structure. All extracted results are not provides any specific or perfect generation. It ca...

A Hybrid Approach to Detect and Recognize Texts in Images

Text data present in images serves important information which is helpful for different applications. Locating text in case of variation in style, color, as well as complex image background makes text reading from imag...

Download PDF file
  • EP ID EP28337
  • DOI -
  • Views 338
  • Downloads 5

How To Cite

Uma Pullela, B. Narasimha Rao (2015). To Evaluate The Effectiveness Of The Query Quality Prediction Model Computed Using Sr Algorithm. International Journal of Research in Computer and Communication Technology, 4(11), -. https://europub.co.uk/articles/-A-28337