- 2023年进展
- search paper reading
- 2022年 进展
- [总结]文档归纳
- [总结]graph embedding
- [总结]领域用户内容挖掘
- [总结]Text Mining 部分
- image-text match 任务实践
- Sentence Embedding 调研与实践
- LeetCode-数组部分
- pyspark使用记录
- HIVE SQL使用记录
- 使用Estimator实现textcnn
- torch.nn.modules.batchnorm.py
- torch 基本函数
- torch.nn.modules.activation.py
- FM相关原理介绍及代码学习
- TensorFlow2使用手册
- MapReduce学习笔记
- PYTORCH-BIGGRAPH: A LARGE-SCALE GRAPH EMBEDDING SYSTEM
- 评价指标理解
- Long Document Classification Survey 1
- Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings
- LMLSTM:Extract Event-Oriented Keyphrase From News Stream
- word2vec实现原理
- scala 的一些用法记录
- Spark任务遇到的一些问题以及解决方案总结
- Scaling Word2Vec on Big Corpus
- pytorch学习笔记
- 臀腿训练-第一阶段
- 肩背训练-第一阶段
- Deep Neural Networks for YouTube Recommendations
- Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
- Topic representation: finding more representative words in topic models
- 关于Spark中并行化的一些实践
- Re-Ranking Words to Improve Interpretability of Automatically Generated Topics
- CHAPTER 2 Topic-Level Taxonomy Generation
- Learning to Rank for Information Retrieval and Natural Language Processing——Learning for Ranking Creation
- Learning to Rank for Information Retrieval and Natural Language Processing——Learning to Rank
- Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
- Graph Embedding 相关方法总结
- Weakly-Supervised Neural Text Classification
- Doc2Cube: Automated Document Allocation to Text Cube via Dimension-Aware Joint Embedding
- Multi-Dimensional, Phrase-Based Summarization in Text Cubes
- Hierarchical Topic Models and the Nested Chinese Restaurant Process
- DSReg: Using Distant Supervision as a Regularizer
- Real-time Personalization using Embeddings for SearchRanking at Airbnb
- App2Vec: Vector Modeling of Mobile Apps and Applications
- Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
- 人体主要肌肉以及对应的训练方法详解
- Typecho使用与修改记录