YASE is a search engine based on the MS Marco document collection, and composed by an indexer and a query processor
-
Updated
Feb 29, 2024 - Java
YASE is a search engine based on the MS Marco document collection, and composed by an indexer and a query processor
Search Engine based on an inverted index developed by Davide Bruni for the Multimedia Information Retrieval and Computer Vision class @ University Of Pisa
Search Engine based on an inverted index developed by Stefano Bianchettin, Matteo Mugnai and Filippo Puccini for Multimedia Information Retrieval course at University of Pisa during academic year 2022/2023.
🔝 HW1 of Intelligent Information Retrieval MSc Course ECE@UT
Galago related homeworks of Information Retrieval Course
A generic search engine built using Go & Spring & Redis. Project for Google's CodeU event.
Mechanism for a search engine backed by inverted indexes (from using Lucene and Hadoop). Word embeddings and Snippet generation were used.
LexiSearch is an API for retrieving information in given datasets.
Data Compression- Golomb Codes, Index Creation, Document Search Tool using Vector Space Model, Bm25, Max Score Heuristic Algorithms
Assignment on Information Retrieval course, implementing ranking algorithms with Lucene.
PageRank: Towards Ranking the WWW Documents
Using Apache Lucene to index documents in AP89 corpus, perform retrieval on TREC topics and evaluate the performance of retrieval algorithms using different evaluation metrics
An Information Retrieval system for searching research publications, papers or articles using Apache Solr
Search Engine by building the retrieval module
Returns Top 10 URL results and corresponding ranking scores for user entered search query.Implements conjunctive as well as disjunctive query processing and uses BM25 as the ranking function.Very Efficient, returns results for conjunctive queries in less than 50ms.
Add a description, image, and links to the bm25 topic page so that developers can more easily learn about it.
To associate your repository with the bm25 topic, visit your repo's landing page and select "manage topics."