A constructive account of Kripke-Curry's decidability proof for Implicational Relevance logic (see README.md below)
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Updated
Jul 13, 2022 - Coq
A constructive account of Kripke-Curry's decidability proof for Implicational Relevance logic (see README.md below)
Search Engine that helps find the information by searched value
Content based movie recommender with web application via Heroku.
Created a data structure for handling queries for a search engine using inverted index of webpages according to their relevance order.
Relevance prediction of user's searches with Machine Learning techniques (Supervised and Unsupervised) using Scala and Apache Spark.
Search engine vector voting
Software Development Group Project - SDGP - University of Westminster / IIT
A simple implementation of file-integrity-monitoring using BigFix
TasteRank: Personalized Image Search and Recommendation. This research project proposes an AI-based method for scoring photos on relevance to user interests. TasteRank leverages language and vision models, including Mistral LLMs and OpenAI’s CLIP, and applies multimodal machine-learning techniques.
Giga Parsers 🦾😎
A Scala/Spark Project for Query Relevance Prediction
Jupyter notebooks to help with search relevancy measurements, optimized for Quepid.
Evaluation Measures for Relevance and Credibility in Ranked Lists
Tezeta is a Python package designed to optimize memory in chatbots and Language Model (LLM) requests using relevance-based vector embeddings. This, in essence, provides support for using much longer conversations and text requests than supported by the context window.
Python project for generating search results based on a given text using TF Universal Sentence Encoder and ElasticSearch database.
Aspect Based ReDial(AB-ReDial): Is a subset data from ReDial annotated on six dialogue aspects and overall user satisfaction at the turn and dialogue levels with the following aspects; relevance, interestingness, understanding, task completion, interest arousal, and efficiency
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