Improving IR-Based Bug Localization with Context-Aware Query Reformulation
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Updated
Jan 20, 2021 - Java
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
Search Engine projects
⇨ Designed and implemented a search engine architecture from scratch for CACM and a sample Wikipedia corpus. ⇨ Crawled the corpus, parsed and indexed the raw documents using simple word count program using Map Reduce, performed ranking using the standard Page Rank algorithm and retrieved the relevant pages using variations of four distinct IR ap…
NLP2API: Query Reformulation for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics.
Link ranking with Apache Giraph for Apache Nutch
The tool implementation of the thesis work of Masud Rahman
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
Using MapReduce to calculate Wikipedia page rank; preventing dead-ends and spider-traps
pagerank hadoop
This repository contains the source codes & scripts of my Master's level course - CS6240 Parallel Data Processing in Map-Reduce course at College of Computer & Information Science, Northeastern University, Boston MA.
An implementation of the PageRank algorithm in Hadoop MapReduce
SearchEngine with an implementation of pageRank
(Class) Big Data Analysis Course Assignments
Improved Query Reformulation for Concept Location using CodeRank and Document Structures
Simple Java PageRank implementation.
PageRank
Java implementation of HITS and Pagerank Algorithm
Un'implementazione JAVA che esemplifica l'utilizzo e la comprensione dell'algoritmo PageRank nella sua versione matriciale utilizzando la libreria JAMA
Google page rank algorithm implementation using Hadoop Map reduce on Simple English Wikipedia corpus
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