Learning a ranking function for information retrieval using HybridABC

Learning a ranking function for information retrieval using HybridABC

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.

Bibliographic Details
Main Authors: Newaz, S.M Saif, Pieta, Maliha Anjum, Ahmed, Mehreen
Format: Thesis
Language:English
Published: BRAC University 2016
Subjects:
Computer science and engineering
HybridABC
Online Access:http://hdl.handle.net/10361/4892
id 10361-4892
record_format dspace
spelling 10361-48922022-01-26T10:21:41Z Learning a ranking function for information retrieval using HybridABC Newaz, S.M Saif Pieta, Maliha Anjum Ahmed, Mehreen Computer science and engineering HybridABC This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. In this paper we propose a ranking algorithm, HybridABC that is built on swarm based algorithm. In our proposed HybridABC algorithm we merged Artificial Bee Colony (ABC) algorithm with Differential Evolution (DE) algorithm. The ABC is a swarm-based metaheuristic algorithm inspired by the intelligent foraging pattern of bees and Differential Evolution is a population-based stochastic search technique. The proposed implementation of ABC has been tested using the LETOR dataset, which is a standard benchmark dataset for evaluating ranking functions. Our results display that our proposed HybridABC can compete and in many cases more efficient than other state-of-the-art algorithm proposed in ranking web pages based on Genetic Algorithm (GA). 2016-01-19T13:09:33Z 2016-01-19T13:09:33Z 2015-12 Thesis ID 10201028 ID 09201009 ID 11201010 http://hdl.handle.net/10361/4892 en application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Computer science and engineering
HybridABC
spellingShingle Computer science and engineering
HybridABC
Newaz, S.M Saif
Pieta, Maliha Anjum
Ahmed, Mehreen
Learning a ranking function for information retrieval using HybridABC
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
format Thesis
author Newaz, S.M Saif
Pieta, Maliha Anjum
Ahmed, Mehreen
author_facet Newaz, S.M Saif
Pieta, Maliha Anjum
Ahmed, Mehreen
author_sort Newaz, S.M Saif
title Learning a ranking function for information retrieval using HybridABC
title_short Learning a ranking function for information retrieval using HybridABC
title_full Learning a ranking function for information retrieval using HybridABC
title_fullStr Learning a ranking function for information retrieval using HybridABC
title_full_unstemmed Learning a ranking function for information retrieval using HybridABC
title_sort learning a ranking function for information retrieval using hybridabc
publisher BRAC University
publishDate 2016
url http://hdl.handle.net/10361/4892
work_keys_str_mv AT newazsmsaif learningarankingfunctionforinformationretrievalusinghybridabc
AT pietamalihaanjum learningarankingfunctionforinformationretrievalusinghybridabc
AT ahmedmehreen learningarankingfunctionforinformationretrievalusinghybridabc
_version_ 1814309327089958912

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