Tagged articles

Content Analysis

10 articles · Page 1 of 1
java1234
java1234
Aug 1, 2026 · Backend Development

Why Apache Tika Is Gaining Popularity for Unified File Content Extraction

The article explains how Apache Tika, an open‑source content analysis toolkit, lets developers detect file types, extract text and metadata from over a thousand formats, and integrate the functionality via a simple CLI, a RESTful server, or direct Java APIs, making it ideal for search, archiving, content moderation, and AI‑driven knowledge bases.

Apache TikaCLIContent Analysis
0 likes · 16 min read
Why Apache Tika Is Gaining Popularity for Unified File Content Extraction
21CTO
21CTO
Jul 10, 2026 · Artificial Intelligence

AI-Generated Junk Posts Flood Social Media: Study Shows Scale and Solutions

A recent Pangram study analyzing over one million posts reveals that AI‑generated junk content dominates long‑form social media, with LinkedIn, X, Medium and Reddit showing high percentages, while the company’s detector boasts low false‑positive rates and calls for better user awareness.

AI detectionContent AnalysisLinkedIn
0 likes · 6 min read
AI-Generated Junk Posts Flood Social Media: Study Shows Scale and Solutions
Design Hub
Design Hub
Mar 15, 2026 · Artificial Intelligence

How to Spot AI‑Written Text: The Issue Lies in Structure, Not Words

The article explains that AI‑generated prose often feels off because its structure—sentence flow, paragraph emphasis, and lack of a personal bias—doesn’t match human writing, and it offers concrete examples and practical steps for designers to identify the AI flavor.

AIContent Analysistext structure
0 likes · 10 min read
How to Spot AI‑Written Text: The Issue Lies in Structure, Not Words
DaTaobao Tech
DaTaobao Tech
Feb 28, 2025 · Artificial Intelligence

AIGC Content Analysis Agent for E‑commerce

We introduce an AIGC‑driven content analysis agent for Taobao that automatically builds a fine‑grained feature taxonomy, multimodally labels images, videos and text, mines causal quality features, and deploys auto‑prompt, memory and LoRA‑based training pipelines, achieving over 90% labeling accuracy, 80% labor savings and double‑digit CTR gains while cutting video generation cost to 25% of GPT‑4o.

AIGCContent Analysisprompt optimization
0 likes · 18 min read
AIGC Content Analysis Agent for E‑commerce
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Feb 26, 2021 · Artificial Intelligence

Inside Toutiao's Transparent Real-Time Recommendation Engine

This article details how Toutiao's senior algorithm architect designs a transparent recommendation system, covering system overview, three-dimensional feature modeling, real-time training pipelines, recall strategies, content analysis, user tagging, evaluation methods, and content safety measures.

Content AnalysisReal-time Trainingcontent safety
0 likes · 17 min read
Inside Toutiao's Transparent Real-Time Recommendation Engine
Top Architect
Top Architect
Sep 19, 2020 · Artificial Intelligence

Architecture and Evaluation of Toutiao's Large-Scale Recommendation System

The article details the end‑to‑end architecture of Toutiao's massive recommendation platform, covering system overview, content and user feature extraction, model training, recall strategies, evaluation methodology, and content safety mechanisms, while highlighting practical challenges and engineering solutions.

Content Analysiscontent safetyevaluation
0 likes · 18 min read
Architecture and Evaluation of Toutiao's Large-Scale Recommendation System
21CTO
21CTO
Oct 6, 2019 · Artificial Intelligence

How Toutiao’s AI Recommendation Engine Works: From Content Analysis to Real‑Time Ranking

This article explains the architecture and principles of Toutiao’s recommendation system, covering its three‑dimensional model of content, user and environment features, content analysis techniques, user tagging, real‑time training pipelines, evaluation methods, and content safety measures that together drive personalized feeds.

Content AnalysisReal-time TrainingUser Modeling
0 likes · 18 min read
How Toutiao’s AI Recommendation Engine Works: From Content Analysis to Real‑Time Ranking
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 20, 2019 · Artificial Intelligence

Exploring AI Applications in iQIYI Video Advertising

The talk explains how iQIYI leverages AI—through video understanding, tag generation, graph construction, and scene‑based point selection—to automatically create and place diverse ad formats, optimizing ad inventory, relevance, and revenue while meeting brand and production constraints.

AIContent Analysisadvertising technology
0 likes · 11 min read
Exploring AI Applications in iQIYI Video Advertising
Youku Technology
Youku Technology
Jul 17, 2019 · Artificial Intelligence

How AI and Big Data Drive Casting Decisions in the TV Series “The Longest Day in Chang'an”

Youku’s AI‑powered Beidouxing system analyzed audience tags, attractiveness scores and performance data to select Lei Jiayin and Yi Yangqianxi for “The Longest Day in Chang’an”, guiding casting, episode frequency and other production choices while reducing subjective bias and expanding the talent pool.

AIBig DataCasting
0 likes · 13 min read
How AI and Big Data Drive Casting Decisions in the TV Series “The Longest Day in Chang'an”
Architecture Digest
Architecture Digest
Jan 30, 2018 · Artificial Intelligence

Overview of Toutiao's Recommendation System: Architecture, Content Analysis, User Tagging, Evaluation, and Content Safety

This article presents a comprehensive overview of Toutiao's recommendation system, detailing its three‑dimensional modeling approach, real‑time training pipeline, feature engineering, content and user analysis techniques, evaluation methodology, and the extensive content‑safety mechanisms employed to ensure reliable and responsible information distribution.

Content Analysiscontent safetyevaluation
0 likes · 19 min read
Overview of Toutiao's Recommendation System: Architecture, Content Analysis, User Tagging, Evaluation, and Content Safety