This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)

Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)

2016-至今nlp/ir/recsys/ai相关顶会的论文清单paperlist列表含目录，方便直接搜索关键字。包括AAAI/ACL/EMNLP/IJCAI/SIGIR/CIKM/WSDM/WWW/NIPS/COLING

The pyTorch implementation of two models described in Deep Semantic Text Hashing with Weak Supervision (SIGIR'18)

The source code, dataset, and evaluation scripts used for SetRank, published in SIGIR 2018

SIGIR 2017 Candidate Selection Tutorial (http://sigir.org/sigir2017/program/tutorials/#candidate)

Code and data for "Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks"

Implementation for our SIGIR 2019 paper --- Quantifying and Alleviating the Language Prior Problem in Visual Question Answering.

Graph Regularised Hashing code

Sampling Bias Due to Near-Duplicates in Learning to Rank

Paper and code accompanying AKBC 2022 Workshop

This is the official repo of the dissertation "Exploiting Time and Content Information to Improve Collaborative and Knowledge-aware Recommendation" which involves the implementation of a new GNN model based on the approaches discussed in papers submitted/accepted at "SIGIR Conference on Research and Development in Information Retrieval".

own made slides NLP, KG, or others