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Machine Learning

Basic Machine Learning: How to Recognize a Cat

This article explains the main steps for training a machine and obtaining a model, provides some simple practices, and shares a basic principle of machine learning.

KDD 2020: Semi-Supervised Collaborative Filtering by Text-Enhanced Domain Adaptation

Hear 3 experts from the Alibaba Group and 2 researchers from Tsinghua University talk about recommendation algorithms and machine learning.

KDD 2020: Learning to Generate Personalized Query Auto-Completions with a New Approach

6 researchers explain the typical problems of query auto-completion with search engines and why the multi-view/multi-task attentive approach can be the solution.

Prediction and Profiling the Audience Competition for Online TV Series

Five researchers explore the audience competition for online TV series by providing the competitiveness definition, algorithm design, and experimental comparison.

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce

This blog talks about Taobao's shop search service, and how Taobao successfully improved long-tail search performance with DHGAN.

Controllable Multi-Interest Framework for Recommendation

6 researchers propose a controllable multi-interest framework for recommendation, which is used to recommend items based on a user's click sequence.

Understanding Negative Sampling in Graph Representation Learning

6 researchers explain benefits and challenges of graph representation learning.

Disentangled Self-supervision in Sequential Recommenders

This paper presents a new training method that allows the recommender to learn the user's next intention and more intentions to come.

Learning Stable Graphs from Heterogeneous Confounded Environments

We present the SGL learning framework to learn stable graph structures from heterogeneous confounded environments.

Comprehensive Information Integration Modeling Framework for Video Titling

This article talks about the Gavotte model, which is used to automatically generate titles for buyer-uploaded videos in e-commerce scenarios.

GCC: Graph Contrastive Coding for Graph Neural Network Pre-training

This article introduces Graph Contrastive Coding (GCC), pre-training framework that uses the contrastive learning method to pre-train graph neural networks.

M2GRL: A Multi-Task Multi-View Graph Representation Learning Framework for Web-Scale Recommender Systems

5 researchers propose the usage of a multi-task multi-view graph representation learning framework to learn node representations from multi-view graph...

Privileged Features Distillation at Taobao Recommendations

10 Alibaba Cloud experts discuss feature input in prediction tasks and using PFD to maximize privileged features, particularly with Taobao recommendations.

Alibaba Cloud Integrated Solution for Autonomous Driving: Breaking through Technology Bottlenecks

To meet diverse needs of the autonomous driving industry, Alibaba Cloud created a data storage solution that integrates data collection, transmission, storage and computing.

Cooperation with the Yidui App Allows Alibaba Cloud to Empower the Dating and Social Industries

This article introduces the Yidui dating app and how it uses Alibaba Cloud technology to offer users a new kind of online dating experience.

Recommendation System: Matching Algorithms and Architecture

In this article, Alibaba technical expert Aohai introduces the matching module in a recommender system and discusses the architecture.

Recommender System: Online Service Orchestration and Architecture

In this article, Alibaba technical expert Aohai introduces the online service orchestration and architecture for a recommender system.

Recommender System: Ranking Algorithms and Training Architectures

In this article, Alibaba technical expert Aohai introduces the ranking algorithms and training architectures of a recommender system, specifically.

Basic Concepts and Architecture of a Recommender System

In this article, Alibaba technical expert Aohai introduces the basic concepts and architecture of an enterprise-level recommender system.

Building a PAI-based Recommender System within 10 Minutes

In this article, Alibaba technical expert Aohai introduces how to establish a simple recommender system based on Machine Learning Platform for AI (PAI) within 10 minutes.