A math-aware search engine.
-
Updated
Nov 16, 2023 - C
A math-aware search engine.
Simple tool for retrieving information about Windows errors codes.
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, C, and Swift, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
Fusion for TREC run files with popular fusion techniques
Implementation of Learning to Rank Short Text Pairs with CNNs SIGIR'15 in Keras.
The source code, dataset, and evaluation scripts used for SetRank, published in SIGIR 2018
Recommendation-oriented version of trec_eval with more metrics
Information Retrieval Engine
CS7IS3- Information Retrieval- Lucene Search Engine
A Feature-Code Traceability Recovery Algorithm written in Python
Information Retrieval, 2016 Spring @ National Taiwan University
Learning to Rank feature extraction task
Psuedo Relevance-Feedback, Reranking using Language Modelling (RM1) and Query Expansion (word2vec, local embeddings)
Simple, cross-platform port of GloVe embeddings, written in C
ATTENTION!!! The whole work IS NOT done by myself. This is a course project. All the codes are provided by my teacher. And maybe the original authors are T.S. Chua and Shen Mo Jun. All rights reserved by the authors. Should this violate your rights, kindly remind me. I shall delete your document without hesitation and delay.
This information retrieval system written in C gives information on documents including relative term frequency adjusted for document length, inverse document frequency, and tf-idf.
To implement an Inverted Index structure using Hash-Table and Linked List Data Structure on C.
This repo is a C project designed to examine the words in the content of (.txt) of the doays in the folder and find the words we are looking for.
Add a description, image, and links to the information-retrieval topic page so that developers can more easily learn about it.
To associate your repository with the information-retrieval topic, visit your repo's landing page and select "manage topics."