Explore @PreferredAI Open Source projects

Preferred.AI (@PreferredAI)

PreferredAI

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Registered almost 7 years ago
Most used languages

Python
48.3 %

Java
20.7 %

Jupyter Notebook
17.2 %

Go
3.4 %

Mustache 3.4 %

C
3.4 %

Vue 3.4 %

cornac

A Comparative Framework for Multimodal Recommender Systems

tutorials

A tutorial series by Preferred.AI

Jupyter Notebook

vista-net

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

venom

Your preferred open source focused crawler for the deep web.

vs-cnn

Code for the paper "Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN", ACM MM'17

bi-vae

Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21

beacon

The implementation of "Correlation-Sensitive Next-Basket Recommendation"", published in IJCAI'19

mrg

Code for the paper "Multimodal Review Generation for Recommender Systems", WWW'19

cerebro

Your personalized retrieval engine

recommendation-retrieval

A tutorial on scalable retrieval of matrix factorization recommendations

Jupyter Notebook

cornac-ab

Recommendation A/B Testing Integration with Cornac

compare-lda

A Topic Model for Document Comparison

venom-tutorial

A tutorial based on your preferred open source focused crawler for the deep web.

cbs

Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation

mp-simrank

This repository provides a Matlab implementation of MP-SimRank, a graph-based framework that models multiple perspective of similarity in the data

core-technologies

Core technologies developed by Preferred.AI

seer

Code of the paper "Synthesizing Aspect-Driven Recommendation Explanations from Reviews", IJCAI'20

venom-examples

A basic web crawler example

csvpl

CSV Processing Language

helm-charts

Preferred.AI Helm Chart Repository

adjacent-encoder

Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"

plrmm

Plackett-Luce Regression Mixture Model

ReIntNTM

ReIntNTM: A Tool for extracting better topics from neural topic models

Jupyter Notebook

sml

Code for the paper "Sentiment-Oriented Metric Learning for Text-to-Image Retrieval", ECIR'21

topic-metrics

Your preferred tool for meddling with topics

Jupyter Notebook

HypAR

Code of the paper "Hypergraphs with Attention on Reviews for Explainable Recommendation", ECIR'24

sequentialign

Code for the AIED-2022 Paper "Towards Aligning Slides and Video Snippets: Mitigating Sequence and Content Mismatches"

cerebro-tutorial

A tutorial based on Cerebro

ComparER

Code of the paper "Explainable Recommendation with Comparative Constraints on Product Aspects", WSDM'21

superposed-topics

Jupyter Notebook