busesese / DSSM
基于movieLen1M数据集的DSSM深度召回实验
☆22Updated 4 years ago
Alternatives and similar repositories for DSSM:
Users that are interested in DSSM are comparing it to the libraries listed below
- ☆94Updated 3 years ago
- ☆16Updated 4 years ago
- ctr、cvr预估☆49Updated 4 years ago
- keras implementation about Deep Interest Network☆65Updated 5 years ago
- Implement EGES by pytorch.☆18Updated 3 years ago
- LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入,方便实际场景应用。☆103Updated 4 years ago
- 推荐系统排序模型复现☆45Updated 4 years ago
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆44Updated 4 years ago
- ☆198Updated last week
- Solution to the Debiasing Track of KDD CUP 2020☆159Updated 2 years ago
- DeepFM for CTR prediction problem (pytorch 1.0)☆72Updated 5 years ago
- Google多任务模型MMoE☆80Updated 4 years ago
- 阿里DIEN与DIN Tensorflow2.0 复现☆54Updated 4 years ago
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13☆65Updated 4 years ago
- Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.☆67Updated 8 months ago
- 简单的实现推荐系统的召回模型和排序模型,其中召回模型使用协同过滤算法,排序模型使用gbdt+lr算法☆59Updated 6 years ago
- ☆103Updated 2 years ago
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆46Updated 6 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116Updated 5 years ago
- Pytorch Implementation of DSSM (Deep Structured Semantic Models)☆56Updated 5 years ago
- 6th Solution for 2020-KDDCUP: Multi-Channel Retrieve and Sorting for Debiasing Recommender System☆161Updated last year
- A python library contain classic algorithms and deep models on recommender system☆46Updated 4 years ago
- esmm model by tensorflow keras☆68Updated 3 years ago
- tensorflow2.0 实现的 DeepFM,使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- wide deep ctr model by pytorch☆26Updated 5 years ago
- A simple start for collaborative filtering.☆19Updated 4 years ago
- 推荐算法学习☆39Updated 2 years ago
- FMM,FM,DeepFM等模型的核心代码实现,训练集,测试集☆14Updated 4 years ago
- ☆18Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆113Updated 4 years ago