Topic: ctr-prediction Goto Github
Some thing interesting about ctr-prediction
Some thing interesting about ctr-prediction
ctr-prediction,Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
Organization: alimamarankgroup
ctr-prediction,Code implementation of "HAMUR: Hyper Adapter for Multi-Domain Recommendation" in CIKM‘2023
Organization: applied-machine-learning-lab
ctr-prediction,Paper List for Recommend-system PreTrained Models
User: archersama
ctr-prediction,Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
User: atomu2014
ctr-prediction,Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP
User: autuanliu
ctr-prediction,wide deep ctr model by pytorch
User: busesese
ctr-prediction,Tensorflow implementation of DeepFM for CTR prediction.
User: chenglongchen
ctr-prediction,4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
User: chenglongchen
Home Page: https://www.kaggle.com/c/mercari-price-suggestion-challenge
ctr-prediction,A PyTorch implementation of DeepFM for CTR prediction problem.
User: chenxijun1029
ctr-prediction,[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"
Organization: cripac-dig
ctr-prediction,DeepTables: Deep-learning Toolkit for Tabular data
Organization: datacanvasio
Home Page: https://deeptables.readthedocs.io
ctr-prediction,A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Organization: datawhalechina
ctr-prediction,CTR模型代码和学习笔记总结
User: dsxiangli
ctr-prediction,Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
User: duchao0726
ctr-prediction,MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
User: easezyc
ctr-prediction,PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
User: fanoping
ctr-prediction,机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
User: fisher87
ctr-prediction,Deep-Learning based CTR models implemented by PyTorch
User: github-hongweizhang
ctr-prediction,CTR Prediction on PyTorch
Organization: guokr
Home Page: https://guokr.github.io/TorchCTR/
ctr-prediction,rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
User: hasai666
Home Page: https://hasai666.github.io/rec_pangu/
ctr-prediction,A collection of research and application papers of (uncertainty) calibration techniques.
User: huangsg1
ctr-prediction,AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
User: ife1er
ctr-prediction,📖Notes and remarks on Machine Learning related papers
User: ishugaepov
ctr-prediction,TensorFlow Script
User: lambdaji
ctr-prediction,Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
User: lapis-hong
ctr-prediction,Wide and Deep Learning for CTR Prediction in tensorflow
User: lapis-hong
ctr-prediction,paper collection for recommendation aspet
User: litowang
ctr-prediction,The collection of papers about recommender system
User: loserchen
ctr-prediction,Recommender Systems Paperlist that I am interested in
User: mengfeizhang820
ctr-prediction,计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
User: mjackie
ctr-prediction,deeplearning models implemented by pytorch FM, FFM, DeepFM, Wide&Deep, DCN, XDeepFM, FastText, TextCNN
User: ottsion
ctr-prediction,CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
User: qiaoguan
Home Page: https://github.com/qiaoguan/deep-ctr-prediction
ctr-prediction,BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Organization: reczoo
ctr-prediction,A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Organization: reczoo
ctr-prediction,A unified, comprehensive and efficient recommendation library
Organization: rucaibox
Home Page: https://recbole.io/
ctr-prediction,【PyTorch】Easy-to-use package of Cognitive Evolutionary Search (CELS) for Click-Through Rate Prediction
User: runlongyu
Home Page: https://doi.org/10.1145/3580305.3599277
ctr-prediction,✨ DJANGO3.1 网站,集成用户管理,文章博客管理,算法模型可视化系统等功能
User: straycamel247
ctr-prediction,Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
User: titicaca
ctr-prediction,MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
User: uliontse
ctr-prediction,A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Organization: ustcml
Home Page: http://recstudio.org.cn
ctr-prediction,Papers on Computational Advertising
User: wzhe06
Home Page: https://github.com/wzhe06/Ad-papers
ctr-prediction,CTR prediction model based on spark(LR, GBDT, DNN)
User: wzhe06
Home Page: https://github.com/wzhe06/SparkCTR
ctr-prediction,用户兴趣建模大赛 top10 开源代码
User: xlniu
ctr-prediction,A curated list of papers on cold-start recommendations.
User: yuanchenbei
ctr-prediction,The source code of MacGNN, The Web Conference 2024.
User: yuanchenbei
ctr-prediction,The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
User: yushenli807
ctr-prediction,Recommender Learning with Tensorflow2.x
User: ziyaogeng
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