Pinned Repositories
2017-daguan-competition
2017“达观杯”个性化推荐算法挑战赛-rank6
cms
CognitiveBanners
A Reinforcement learning based program to dynamic display of ad-banners based on the click event by customers. This uses Thompson sampling technique hence ensuring better click through rate.
Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
flink-recommandSystem-demo
基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。
Multi-armed-bandits-for-dynamic-movie-recommendations
Multi-armed bandits for dynamic movie recommendations
MyPicture
Picture of my blog or project
NewsSimilarityCalculation
文本相似度计算
recommenders-addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
Tencent2019_Finals_Rank1st
2019腾讯广告算法大赛完整代码（冠军）
ichuangke's Repositories
ichuangke/recommenders-addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
ichuangke/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
ichuangke/Multi-armed-bandits-for-dynamic-movie-recommendations
Multi-armed bandits for dynamic movie recommendations
ichuangke/Tencent2019_Finals_Rank1st
2019腾讯广告算法大赛完整代码（冠军）
ichuangke/flink-recommandSystem-demo
基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。
ichuangke/MyPicture
Picture of my blog or project
ichuangke/NewsSimilarityCalculation
文本相似度计算
ichuangke/2017-daguan-competition
2017“达观杯”个性化推荐算法挑战赛-rank6
ichuangke/CognitiveBanners
A Reinforcement learning based program to dynamic display of ad-banners based on the click event by customers. This uses Thompson sampling technique hence ensuring better click through rate.
ichuangke/cms
ichuangke/word2vec-recommender
Recommendation engine based on contextual word embeddings