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4ebasemetal

adversarial_personalized_ranking

Adversarial Learning, Matrix Factorization, Recommendation

advrec

AdvRec implements several algorithms for use in personalized recommendation.

asne

ASNE is a tensorflow implementation of Attributed Social Network Embedding framework, which learns representations for social actors by preserving both the structural and attribute proximity.

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

fashionke

FashionKE is an effective implementation of an automatic harvesting model for fashion concept prediction and a comprehensive analysis tool for fashion knowledge extraction.

fitgram_ios

joint-kg-recommender

This repository contains an implementation of a new translation-based recommendation model, which considers multiple preference criteria in recommendation and the incomplete nature of KG in practice.

kgpolicy

KGpolicy is a Pytorch implementation of a new negative sampling framework tailored to knowledge-aware personalized recommendation, which is able to discover high-quality items as negative training instances, thus providing better recommendation.

knowledge_graph_based_intent_network

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

l2i

The baseline method for CCIR 22 https://www.datafountain.cn/competitions/573

low-resource-name-tagging

This repository contains a novel neural model for name tagging which is solely based on weakly labelled data, making it applicable to any low-resource setting.

mmconv

Official repository for "MMConv: An Environment for Multimodal Conversational Search across Multiple Domains"

mugnn

MuGNN is the implementation of a novel model to learn alignment-oriented knowledge graph (KG) embeddings by robustly encoding two KGs via multiple channels.

neural_collaborative_filtering

Neural Collaborative Filtering

neural_factorization_machine

TenforFlow Implementation of Neural Factorization Machine

neurec

NeuRec is a comprehensive and flexible Python library for recommendation models that includes a large range of state-of-the-art neural recommender models.

object-trajectory-proposal

This repository is an effective implementation of a novel method for labelling each object candidates in videos by generating temporally consistent proposals in the form of object trajectories, which outperforms current state-of-the-art methods.

pacific

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

tat-dqa

TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning

tat-hqa

TAT-HQA

tat-qa

TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

tcr

TCR is a PyTorch implementation of the Topic-Guided Conversational Recommender which is designed for the multi-domain conversational recommendation setting.

tree_enhanced_embedding_model

TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018

vidvrd-helper

Video Relation Understanding (VRU) grand challenge toolbox