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Bitu Technology
Bitu Technology
Jul 8, 2022 · Artificial Intelligence

Applying NLP and Machine Learning to Classify Tubi User Feedback

This article explains how Tubi leverages natural‑language processing, sentence embeddings (USE and BERT), and LightGBM models to automatically categorize large volumes of Net Promoter Score comments and customer‑support tickets, enabling data‑driven product decisions and workflow automation.

EmbeddingsLightGBMNLP
0 likes · 11 min read
Applying NLP and Machine Learning to Classify Tubi User Feedback
DataFunTalk
DataFunTalk
Jul 13, 2021 · Artificial Intelligence

NLP‑Driven Scenario Tagging and Experience Management Platform for Douyin App

This article describes how Douyin built an AI‑powered feedback management platform that uses NLP to automatically tag and cluster user comments, maps them to business scenarios, defines quantitative experience metrics, and creates a closed‑loop system for rapid problem discovery and product improvement.

AIData AnalyticsDouyin
0 likes · 15 min read
NLP‑Driven Scenario Tagging and Experience Management Platform for Douyin App
iQIYI Technical Product Team
iQIYI Technical Product Team
May 21, 2021 · Big Data

Design and Implementation of iQIYI's User Feedback Analysis System

iQIYI built an in‑house user‑feedback analysis system that automatically ingests multi‑channel data, classifies and clusters issues, assesses feedback quality, localizes problems, and streamlines repair closure, boosting recall accuracy, alarm precision, closure rates and reducing cycle time across business lines to enhance user experience.

AIBig DataClustering
0 likes · 15 min read
Design and Implementation of iQIYI's User Feedback Analysis System
Qunhe Technology Quality Tech
Qunhe Technology Quality Tech
Apr 22, 2020 · Product Management

How a Smart Ticketing System Transformed User Feedback for a Cloud Design Platform

This article details the design, architecture, and operational results of a listening platform and smart ticketing system that automatically captures key user feedback, streamlines processing, and improves response times, showcasing a data‑driven approach to product management and operations.

Operationsprocess automationproduct management
0 likes · 11 min read
How a Smart Ticketing System Transformed User Feedback for a Cloud Design Platform
AntTech
AntTech
Jan 6, 2020 · Product Management

The Story of Yuque: From Alibaba’s Internal Knowledge Base to an External Product

Yuque, an Alibaba‑incubated cloud knowledge‑base, evolved from a small internal tool for engineers into a widely adopted document platform that now serves thousands of external enterprises while tackling security, user‑feedback, and product‑management challenges.

AlibabaProduct DevelopmentSecurity
0 likes · 10 min read
The Story of Yuque: From Alibaba’s Internal Knowledge Base to an External Product
Amap Tech
Amap Tech
Jan 3, 2020 · Artificial Intelligence

Machine Learning Solutions for User Feedback Intelligence at Amap (Gaode Maps)

Amap replaced its rule‑based feedback pipeline with a three‑stage, LSTM‑driven system that combines word2vec embeddings and structured fields, achieving over 96% classification accuracy, cutting manual workload by 80%, and slashing per‑task costs while enabling scalable, data‑driven map quality improvements.

Fine-tuningGaode MapsLSTM
0 likes · 14 min read
Machine Learning Solutions for User Feedback Intelligence at Amap (Gaode Maps)
Tencent Cloud Developer
Tencent Cloud Developer
Mar 18, 2019 · Product Management

How to Prioritize Product Requirements: A User‑Centric Approach and Bug‑First Strategy

To keep product development sustainable, prioritize user‑reported bugs first, then self‑discovered bugs, followed by user‑requested features and finally internal ideas, using continuous ranking based on impact, difficulty, and supporter count while actively listening to users and fixing problems before adding new functionality.

Requirement Prioritizationagilebug-fixing
0 likes · 9 min read
How to Prioritize Product Requirements: A User‑Centric Approach and Bug‑First Strategy
360 Tech Engineering
360 Tech Engineering
Nov 27, 2018 · Product Management

Product Management Lessons from the 360 Innovation Hackday: Rough Heart, Brain Exercises, and the Power of Focus

During the 360 Product Innovation Hackday, product manager Lao Zhou shared practical advice—cultivating a "rough heart," regularly doing product‑manager brain exercises, and mastering focus and reduction—to help aspiring product managers navigate startup challenges and build user‑centric products.

focushackdaymindset
0 likes · 7 min read
Product Management Lessons from the 360 Innovation Hackday: Rough Heart, Brain Exercises, and the Power of Focus
Baidu Intelligent Testing
Baidu Intelligent Testing
Jun 29, 2018 · Product Management

Baidu Product Evaluation Framework and Common Assessment Methods

This article outlines Baidu's comprehensive product evaluation framework, describing its multi‑layer assessment system, the combination of subjective and objective metrics, and a suite of common evaluation methods such as indicator analysis, AB testing, user feedback, behavior analysis, big‑data profiling, and competitor comparison.

AB testingBig DataQA
0 likes · 16 min read
Baidu Product Evaluation Framework and Common Assessment Methods
Baidu Intelligent Testing
Baidu Intelligent Testing
Aug 16, 2016 · Mobile Development

Building a Comprehensive Monitoring System for Mobile Apps: Problem Discovery, Localization, and Damage Control

This article explains how to design a complete mobile app monitoring framework that covers problem discovery through key quality metrics and user feedback, systematic log instrumentation, effective issue localization methods, and rapid damage‑control strategies such as cloud‑based feature toggles and hot‑fix mechanisms.

LoggingMobilecrash analysis
0 likes · 12 min read
Building a Comprehensive Monitoring System for Mobile Apps: Problem Discovery, Localization, and Damage Control
Baidu Intelligent Testing
Baidu Intelligent Testing
Apr 12, 2016 · Product Management

User Feedback Analysis: Methods, Process, and Core Metrics

This article explains what user feedback is, why it should be analyzed, and provides a step‑by‑step methodology—including channel setup, data collection, coding, categorization, and statistical analysis—along with key performance indicators for monitoring feedback handling in product management.

categorizationdata collectionfeedback analysis
0 likes · 8 min read
User Feedback Analysis: Methods, Process, and Core Metrics