phase-two

An approach exploring and assessing literature-based doc-2-doc recommendations using BERT embeddings, and applying it to TREC and RELISH datasets

An approach exploring and assessing literature-based doc-2-doc recommendations using doc2vec and applying it to the RELISH dataset

An approach utilizing a word mover's distance solution to generate word embeddings from the RELISH dataset as part to explore document-to-document similarity

A collection of hybrid approaches combining Word2Vec, Doc2Vec, FastText, and ontology-based background knowledge to enhance document similarity, relevance, and recommendation.

An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec and applying it to the RELISH dataset

An approach exploring and assessing literature-based doc-2-doc recommendations using fastText and applying it to the RELISH dataset