Pinned Repositories
ClayRS
Complexly represent contents, build recommender systems, evaluate them. All in one place!
ConvRecSysDataset
Deep_CBRS_Amar
Amar deep architectures for content based recommendations
Deep_CBRS_Amar_Renaissance
Amar deep architectures for hybrid recommenders with GNNs
hate_tweet_map
LLaMAntino
lodrecsys_eswc2017tutorial
Hands-on materiels for the Linked Open Data for Semantics-aware Recommender Systems tutorial at ESWC 2017
neel-it-twitter
Named Entity rEcognition and Linking (NEEL) dataset for Italian tweets contains 1,000 annotated Italian tweets. Each annotation reports the start and the end offset (starting from 0) of the named entity, the linked concept and the category.
OpenKE
Semantics-aware Recommender Systems based on Graph Embedding Techniques
UMAP23_KARSCombiningGNNsEncSentenceEnc
Source code for the paper titled "Combining GNNs and Sentence Encoders for Knowledge-aware Recommendations"
SWAP Research Group's Repositories
swapUniba/explanations_food_recsys
Implementation of an explanation service for a food recommender system
swapUniba/hate_tweet_map
swapUniba/Diachronic-Engine
Diachronic Engine is a web-framework for the diachronic analysis of corpora lexical features. Diachronic Engine computes word frequency, concordances and collocations taking into account the temporal dimension. It is also able to compute temporal word embeddings and time-series that can be exploited for change detection of lexical semantics.
swapUniba/unita
A Diachronic Italian Corpus based on l’Unità
swapUniba/ConveRSE-books-aspects
Materiale delle tesi di laurea di Sgarro e Sokoli
swapUniba/movie_reviews_opinion_mining
Script di Opinion Mining realizzati per la Tesi di Laurea in Informatica e Tecnologie per la Produzione del Software: "Estensione di un Recommender System Conversazionale Mediante Tecniche di Opinion Mining".
swapUniba/RecSys-Algorithms-Evaluation
Codice e risultati del lavoro di tesi su Studio del Popularity Bias degli Algoritmi di Content-Based Recommendation di Lamorgese
swapUniba/Book_Recommender
swapUniba/Content_based_recommender_conveRSE
Web service realizzato per la tesi di Petruzzelli-Pagliarulo.
swapUniba/Content_based_recommender_conveRSE-with-Aspects
swapUniba/Controlodio-Hate_Checker
swapUniba/CrowdPulse2.0
swapUniba/Elliot_refactor-tesi-Ventrella
Framework Elliot con modifiche effettuate durante il lavoro di tesi di Ventrella
swapUniba/filmando
swapUniba/filmando-eng
swapUniba/FoodRecSys2020
swapUniba/FoodRecSys2021
Sistema di raccomandazione di ricette personalizzate realizzato durante il lavoro di tesi di Serino
swapUniba/Hate-Tweet-Map-2.0
swapUniba/HealthAssistatBot
swapUniba/lod-recsys
swapUniba/musicando
MusicandoAPP - Project Exam of the course IIA & NLP - Student: Giuseppe Spillo
swapUniba/Natural_Language_Explanation_Movies
Sistema di raccomandazione di film che fornisce all'utente una spiegazione in merito alla raccomandazione ricevuta, realizzato per il lavoro di tesi di Nuzzachi.
swapUniba/News-and-Music-Recommender
swapUniba/recsys-popularity-analyzer-Goodbooks
swapUniba/recsys-popularity-analyzer-master-GoodBooks10k
swapUniba/recsys-popularity-analyzer-MovieLens
swapUniba/RecSysPopularityAnalyzer_GoodBooks-10k_2021
Analisi della fairness e popularity bias nei RecSys in GoodBooks-10k e MovieLens, realizzato nel lavoro di tesi di Valletta
swapUniba/RecSysPopularityAnalyzer_MovieLens_2021
Analisi della fairness e popularity bias nei RecSys in MovieLens, realizzato nel lavoro di tesi di Valletta Antonio
swapUniba/Rule-based-Inclusivity-Detection
swapUniba/whereandwhy
Codice Progetto di Tesi - Spillo Giuseppe