Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)
-
Updated
Nov 14, 2016 - MATLAB
Probabilistic Matrix Factorization with Social Trust for Recommendation (Ma et al. SIGIR 2009)
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"
The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)
Implementation for our SIGIR 2019 paper --- Quantifying and Alleviating the Language Prior Problem in Visual Question Answering.
Graph Regularised Hashing code
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 source code, dataset, and evaluation scripts used for SetRank, published in SIGIR 2018
The pyTorch implementation of two models described in Deep Semantic Text Hashing with Weak Supervision (SIGIR'18)
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
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".
Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Sampling Bias Due to Near-Duplicates in Learning to Rank
Add a description, image, and links to the sigir topic page so that developers can more easily learn about it.
To associate your repository with the sigir topic, visit your repo's landing page and select "manage topics."