Name: Javier Sanz-Cruzado
Type: User
Company: University of Glasgow
Bio: PhD in Computer Science. Recommender systems, social networks and information retrieval.
Twitter: JavierSanzCruza
Location: Glasgow, Scotland, United Kingdom
Blog: https://javiersanzcruza.github.io
Javier Sanz-Cruzado's Projects
Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Repository with code for the What's my next Investment? Automated Recomendations for investors workshop
Website for the FAR-AI workshop
This this the source code repository for the Infinitech Financial Asset Recommender system based on future Profitability Estimation if financial assets based on their price history.
Java library for interactive recommendation.
Personal site
Social network framework in Java 8. Includes basic analysis metrics, community detection, link prediction and people-to-people recommendation, etc.
Software of the experiments reported in the RecSys 2020 paper "On Target Item Sampling in Offline Recommender System Evaluation"
Analyzer for the properties of public recommendation datasets.
Repository for retrieving information from social networks such as Twitter or Tumblr
Terrier IR Platform
Metasearcher. Uses session detection features, and advanced search functionalities: Result diversification and pseudo relevance feedback over sessions.