Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.
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Updated
Sep 2, 2023 - Python
Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.
Two-part information retrieval system: 1) Pre-process text files, generate TF-IDF matrix and inverted index. 2) Retrieve relevant documents ranked by cosine similarity for given queries.
Repository containing all the codes created for the lab sessions of CSE3020 Web Mining at VIT University Chennai Campus
A complete search engine experience built on top of 75 GB Wikipedia corpus with subsecond latency for searches. Results contain wiki pages ordered by TF/IDF relevance based on given search word/s. From an optimized code to the K-Way mergesort algorithm, this project addresses latency, indexing, and big data challenges.
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
Finding similarities between documents, and document search engine query language implementation
A system for computing the most similar resume vectors given a query job vector. Built using an inverted index and BM25 retrieval model.
SMP_ETST 2018 christmas
Boolean retrieval search engine with SPIMI indexing and BM25 ranking
A search engine
Search Engine built using Flask, HTML, CSS and MongoDB using an inverted index (TF-IDF scoring).
Investment strategy on NAFTRAC, which is an ETF (Exchanged Traded Fund), which replicates the index of the Mexican Stock Exchange
TapSearch is a search engine which index documents and searches for top 10 documents in the collection using bm25 rankings
A Search engine to retrieve text documents in response to the user's Query.
An inverted index of OpinRank dataset written in python. More information will uploaded subsequently. This version is under developing.
Database system that combines structured data retrieval through inverted indexes with unstructured data (images, audio) search using multidimensional vector embeddings, all within a unified platform.
Python search engine
SPIMI Ranked Retrieval Implementation and API
Document searching from queries using Inverted index
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