Retrieve best matching images from 10,000+ images WANG Dataset with an average precision of 80%

A simple implementation of file-integrity-monitoring using BigFix

Jupyter R notebook uses Python to open and reads credentials/URL from configuration-file, creates a BigFix 'query-channel', and extracts endpoint information through ReST API, to be manipulated and graphed using R libraries.

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 🦾😎

Evaluation Measures for Relevance and Credibility in Ranked Lists

📓 Lint comments & code actuality

Search Engine that helps find the information by searched value

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

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.

Information Retrieval Systems (e.g. Search Engines) evaluation metrics in R.

Search engine vector voting

A Fast Multi-Threaded search engine implemented in Java, supporting Crawling, Indexing, Relevance scoring, trend analysis & in-memory caching

A Mini Search Engine in C++, using an inverted index and a trie.

REST service implemented in Python using FastAPI that allows for training and querying a model for object relevance.

This is a really limited attempt at a simple File Integrity Monitoring system using BigFix fixlets and reports

Big Data\MapReduce