NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
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Updated
Nov 26, 2018 - Python
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
CS 582 Information Retrieval at University of Illinois at Chicago. Multithreaded crawling of UIC domain, inverted index, page rank, SEO with Context Pseudo-Relevance Feedback
A search engine bases on the course Information Retrieval at BML Munjal University. It includes features like relevance feedback, pseudo relevance feedback, page rank, hits analysis, document clustering.
EE448 Big Data Mining Project: Query Expansion with Rocchio Algorithm & Document Ranking with BM25 Score
Implementation of Probabilistic Retrieval Query expansion and Relevance Model based Language Modelling aimed at improving the precision of results using pseudo-relevance feedback in Information Retrieval.
SIGIR'23: Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval
An information retrieval system which consists of various techniques' implementations like indexing, tokenization, stopping, stemming, page ranking, snippet generation and evaluation of results
Implementation of different Information Retrieval Systems to evaluate and compare their performance levels in terms of retrieval effectiveness
Research survey paper (A. Bansal, S. Mittal)
Implementation of Relevance Feedback with Rocchio Algorithm in order to improve results in Information Retrieval. Proposal of an improvement to the Rocchio Algorithm.
♻️ HW2 of Intelligent Information Retrieval MSc Course ECE@UT
ProxLogPRF: A Proximity-based Log-logistic Feedback Model for Pseudo-relevance Feedback
Information Retreival Course Repository, 7th Semester, IITD, 2023-24
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