Automatic Query Image Disambiguation (AID)
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Updated
Nov 7, 2017 - Python
Automatic Query Image Disambiguation (AID)
Information Retrieval, Information Extraction and Data Mining projects
Vector space modeling of MovieLens & IMDB movie data
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.
Application and evaluation of relevance feedback and thesaurus
Created various Information Retrival Algorithms from scratch in python
Compilation of Information Retrieval codes.
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.
Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search
A Convenient Field Study Toolkit (for our WWW21 paper Towards a Better Understanding of Query Reformulation Behavior in Web Search)
Implementation of Relevance Feedback with Rocchio Algorithm in order to improve results in Information Retrieval. Proposal of an improvement to the Rocchio Algorithm.
Official implementation of "Confidence-Aware Active Feedback for Interactive Instance Search".
Ceng596 Information Retrieval Course Project, InfoNinjas
Advanced DB Project 1
A Python implementation of Paper "Image Retrieval with Relevance Feedback using SVM Active Learning"
Applying several strategies like tf-idf, posting index, vector similarity, etc. to build an Information Retrieval system to increase the efficacy of querying the dataset.
This project implements advanced image retrieval techniques for Caltech101 dataset, using algorithms like MDS, SVD, DBScan, and Locality Sensitive Hashing (LSH). It focuses on optimizing retrieval accuracy and efficiency through dimensionality reduction, clustering, classification, and relevance feedback, enhancing multimedia search capabilities.
Iterative Relevance Feedback based Answer Passage Retrieval
A search engine that employs the Rocchio Algorithm to improve result relevance.
The repository contains a subset of the ReDial dataset with additional annotations on relevance and usefulness created in the paper: Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems, accepted at NAACL'24
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