scholarly journals A Bio-inspired Modified PSO Strategy for Effective Web Information Retrieval using RCV1 Datasets

2019 ◽  
Vol 8 (10) ◽  
pp. 779-785
Keyword(s):  
Information Retrieval ◽  
Fitness Function ◽  
System Efficiency ◽  
Web Information Retrieval ◽  
Key Technology ◽  
Query Response Time ◽  
Web Information ◽  
Document Collection ◽  
Tremendous Amount ◽  
Modified Pso

Information retrieval is a key technology in accessing the vast amount of data present on today’s World Wide Web. Numerous challenges arise at various stages of information retrieval from the web, such as missing of plenteous relevant documents, static user queries, ever changing and tremendous amount of document collection and so forth. Therefore, more powerful strategies are required to search for relevant documents. In this paper, a PSO methodology is proposed which is hybridized with Simulated Annealing with the aim of optimizing Web Information Retrieval (WIR) process. Hybridized PSO has a high impact on reducing the query response time of the system and hence subsidizes the system efficiency. A novel similarity measure called SMDR acts as a fitness function in the hybridized PSO-SA algorithm. Evaluations measures such as accuracy, MRR, MAP, DCG, IDCG, F-measure and specificity are used to measure the effectiveness of the proposed system and to compare it with existing system as well. Ultimately, experiments are extensively carried out on a huge RCV1 collections. Achieved precision-recall rates demonstrate the considerably improved effectiveness of the proposed system than that of existing one.

CONCEPT-BASED TERM WEIGHTING FOR WEB INFORMATION RETRIEVAL

2006 ◽  
Vol 06 (02) ◽  
pp. 193-207 ◽  
Author(s):  
JOHN ZAKOS ◽  
BRIJESH VERMA
Keyword(s):  
Information Retrieval ◽  
Fundamental Aspect ◽  
Web Information Retrieval ◽  
Additional Source ◽  
Term Weighting ◽  
Conceptual Information ◽  
Inverse Document Frequency ◽  
Web Information ◽  
Document Frequency ◽  
Document Collection

In this paper we present a novel technique for determining term importance by exploiting concept-based information found in ontologies. Calculating term importance is a significant and fundamental aspect of most information retrieval approaches, and it is traditionally determined through inverse document frequency (IDF). We propose concept-based term weighting (CBW), a technique that is fundamentally different to IDF in that it calculates term importance by intuitively interpreting the conceptual information in ontologies. We show that when CBW is used in an approach for web information retrieval on benchmark data, it performs comparatively to IDF, with only a 3.5% degradation in retrieval accuracy. While this small degradation has been observed, the significance of this technique is that (1) unlike IDF, CBW is independent of document collection statistics, (2) it presents a new way of interpreting ontologies for retrieval, and (3) it introduces an additional source of term importance information that can be used for term weighting.

A Fireworks Algorithm for Modern Web Information Retrieval with Visual Results Mining

2016 ◽  
pp. 649-668
Author(s):  
Hadj Ahmed Bouarara ◽  
Reda Mohamed Hamou ◽  
Abdelmalek Amine ◽  
Amine Rahmani
Keyword(s):  
Information Retrieval ◽  
Distance Measure ◽  
Fitness Function ◽  
Web Information Retrieval ◽  
Fireworks Algorithm ◽  
Displacement Mapping ◽  
Web Information ◽  
User Query ◽  
Naive Method ◽  
Function Selection

The popularization of computers, the number of electronic documents available online /offline and the explosion of electronic communication have deeply rocked the relationship between man and information. Nowadays, we are awash in a rising tide of information where the web has impacted on almost every aspect of our life. Merely, the development of automatic tools for an efficient access to this huge amount of digital information appears as a necessity. This paper deals on the unveiling of a new web information retrieval system using fireworks algorithm (FWA-IR). It is based on a random explosion of fireworks and a set of operators (displacement, mapping, mutation, and selection). Each explosion of firework is a potential solution for the need of user (query). It generates a set of sparks (documents) with two locations (relevant and irrelevant). The authors experiments were performed on the MEDLARS dataset and using the validation measures (recall, precision, f-measure, silence, noise and accuracy) by studying the sensitive parameters of this technique (initial location number, iteration number, mutation probability, fitness function, selection method, text representation, and distance measure), aimed to show the benefit derived from using such approach compared to the results of others methods existed in literature (taboo search, simulated annealing, and naïve method). Finally, a result-mining tool was achieved for the purpose to see the outcome in graphical form (3d cub and cobweb) with more realism using the functionalities of zooming and rotation.

Mobile Agents Build Web Information Retrieval System

2014 ◽  
Vol 543-547 ◽  
pp. 3373-3376
Author(s):  
Na Liu ◽  
Kun Liu
Keyword(s):  
Information Retrieval ◽  
Mobile Agent ◽  
Mobile Agents ◽  
Retrieval System ◽  
Hot Spot ◽  
Academic Research ◽  
Information Retrieval System ◽  
Web Information Retrieval ◽  
Key Technology ◽  
Web Information

In recent years, mobile agent has always been the hot spot of the academic research, this paper introduces the concept of mobile agent, mobile agent system architecture and key technologies, combined with the mobile technology and web information retrieval technology, design a model of information retrieval system based on mobile agent, and expounds the key technology to realize the model needs to solve.

A Fireworks Algorithm for Modern Web Information Retrieval with Visual Results Mining

2015 ◽  
Vol 6 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Hadj Ahmed Bouarara ◽  
Reda Mohamed Hamou ◽  
Abdelmalek Amine ◽  
Amine Rahmani
Keyword(s):  
Information Retrieval ◽  
Distance Measure ◽  
Fitness Function ◽  
Graphical Form ◽  
Web Information Retrieval ◽  
Fireworks Algorithm ◽  
Web Information ◽  
User Query ◽  
Naive Method ◽  
Initial Location

The popularization of computers, the number of electronic documents available online /offline and the explosion of electronic communication have deeply rocked the relationship between man and information. Nowadays, we are awash in a rising tide of information where the web has impacted on almost every aspect of our life. Merely, the development of automatic tools for an efficient access to this huge amount of digital information appears as a necessity. This paper deals on the unveiling of a new web information retrieval system using fireworks algorithm (FWA-IR). It is based on a random explosion of fireworks and a set of operators (displacement, mapping, mutation, and selection). Each explosion of firework is a potential solution for the need of user (query). It generates a set of sparks (documents) with two locations (relevant and irrelevant). The authors experiments were performed on the MEDLARS dataset and using the validation measures (recall, precision, f-measure, silence, noise and accuracy) by studying the sensitive parameters of this technique (initial location number, iteration number, mutation probability, fitness function, selection method, text representation, and distance measure), aimed to show the benefit derived from using such approach compared to the results of others methods existed in literature (taboo search, simulated annealing, and naïve method). Finally, a result-mining tool was achieved for the purpose to see the outcome in graphical form (3d cub and cobweb) with more realism using the functionalities of zooming and rotation.

scholarly journals Web Information Retrieval

2013 ◽  
Vol 76 (1) ◽  
pp. 29-32
Author(s):  
Vikas Thada ◽  
Vivek Jaglan
Keyword(s):  
Information Retrieval ◽  
Web Information Retrieval ◽  
Web Information
Sign in / Sign up

Export Citation Format

Share Document