preferredai Goto Github PK
Name: Preferred.AI
Type: Organization
Blog: http://preferred.ai
Name: Preferred.AI
Type: Organization
Blog: http://preferred.ai
Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"
Implementation of "Augmenting Decision with Hypothesis in Reinforcement Learning"
The implementation of "Correlation-Sensitive Next-Basket Recommendation"", published in IJCAI'19
Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
Your personalized retrieval engine
A tutorial based on Cerebro
Learning to Rank Aspects and Opinions for Comparative Explanations
A Topic Model for Document Comparison
Code of the paper "Explainable Recommendation with Comparative Constraints on Product Aspects", WSDM'21
Code of the paper "Selecting Comparative Sets of Reviews Across Multiple Items", EDBT'25
Core technologies developed by Preferred.AI
A Comparative Framework for Multimodal Recommender Systems
Recommendation A/B Testing Integration with Cornac
CSV Processing Language
Preferred.AI Helm Chart Repository
Code of the paper "Hypergraphs with Attention on Reviews for Explainable Recommendation", ECIR'24
This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data
Code for the paper "Multimodal Review Generation for Recommender Systems", WWW'19
Plackett-Luce Regression Mixture Model
A Python library for Boolean Matrix Factorization
Code of the paper "Question-Attentive Review-Level Recommendation Explanation", BigData'22
A tutorial on scalable retrieval of matrix factorization recommendations
ReIntNTM: A Tool for extracting better topics from neural topic models
Code of the paper "Synthesizing Aspect-Driven Recommendation Explanations from Reviews", IJCAI'20
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.