1. Web crawling (Crawl) - data collection stage
A complete analysis of the working principle of Google search engine 1 Web crawling (Crawl) 2 Establish index (Index) 3 Intent Analysis (Analysis) 4 FAQ analysis 1 Web crawling (Crawl) 2 Establish index (Index) 3 Intent Analysis (Analysis) 4 FAQ analysis 1 Web crawling (Crawl) 1 Web crawling (Crawl) 1 2 Establish index (Index) 2 Establish index (Index) 2 3 Intent Analysis (Analysis) 3 Intent Analysis (Analysis) 3 4 FAQ analysis 4 FAQ analysis 4 1. Web crawling (Crawl) - data collection stage Operation principle Google uses a web crawler called Googlebot (more than one million server clusters deployed worldwide) to traverse the Internet in a "spider web" path. Automatically track hyperlink relationships between web pages based on link discovery strategies Support JavaScript rendering execution (upgraded after 2015) Comply with robots.txt protocol for compliant crawling Use distributed scheduling algorithm to optimize crawling path Technical features Dynamic adjustment of crawling frequency: Automatically adjust access density according to website weight (average daily crawling volume can reach trillions) Priority crawling mechanism: New websites/high-frequency updated websites will receive more attention Multi-format support: Can crawl more than 200 file types such as HTML/CSS/JS/PDF/images/videos
Operation principle
Google uses a web crawler called Googlebot (more than one million server clusters deployed worldwide) to traverse the Internet in a "spider web" path. Automatically track hyperlink relationships between web pages based on link discovery strategies Support JavaScript rendering execution (upgraded after 2015) Comply with robots.txt protocol for compliant crawling Use distributed scheduling algorithm to optimize crawling path Google uses a web crawler called Googlebot (more than one million server clusters deployed worldwide) to traverse the Internet in a "spider web" path. Automatically track hyperlink relationships between web pages based on link discovery strategies Support JavaScript rendering execution (upgraded after 2015) Comply with robots.txt protocol for compliant crawling Use distributed scheduling algorithm to optimize crawling path
Technical features
Dynamic adjustment of crawling frequency: Automatically adjust access density according to website weight (average daily crawling volume can reach trillions) Priority crawling mechanism: New websites/high-frequency updated websites will receive more attention Multi-format support: Can crawl more than 200 file types such as HTML/CSS/JS/PDF/images/videos Dynamic adjustment of crawling frequency: Automatically adjust access density according to website weight (average daily crawling volume can reach trillions) Priority crawling mechanism: New websites/high-frequency updated websites will receive more attention Multi-format support: Can crawl more than 200 file types such as HTML/CSS/JS/PDF/images/videos 2. Establish index (Index) - Data archiving stage Index building process Establish reverse index: establish a mapping relationship between keywords and web page locations Semantic analysis: identify synonyms, near synonyms and related concepts Multimedia processing: use AI to identify image content and generate video summaries Structured data analysis: extract Schema tag information Index features Global distributed storage: synchronize indexes across more than 160 data centers Real-time update mechanism: important news content can be collected in seconds Index capacity: more than 130 trillion independent web pages (2023 data)
2. Establish index (Index) - Data archiving stage
Index building process
Establish reverse index: establish a mapping relationship between keywords and web page locations Semantic analysis: identify synonyms, near synonyms and related concepts Multimedia processing: use AI to identify image content and generate video summaries Structured data analysis: extract Schema tag information Establish reverse index: establish a mapping relationship between keywords and web page locations Semantic analysis: identify synonyms, near synonyms and related concepts Multimedia processing: use AI to identify image content and generate video summaries Structured data analysis: extract Schema tag information data analysis
Index features
Global distributed storage: synchronize indexes across more than 160 data centers Real-time update mechanism: important news content can be collected in seconds Index capacity: more than 130 trillion independent web pages (2023 data) Global distributed storage: synchronize indexes across more than 160 data centers Real-time update mechanism: important news content can be collected in seconds Index capacity: more than 130 trillion independent web pages (2023 data) 3. Intent Analysis (Analysis) - Demand Analysis Phase Search intent identification Intent classification: navigation (42%), information (39%), transaction (19%) Natural language processing: word segmentation, part-of-speech tagging, dependency syntax analysis Entity recognition: Accurately locate proper nouns such as names of people/places/institutions Context understanding: Combine user geographic location, search history, device type Core technology support BERT model: Processing semantic relevance of long-tail queries RankBrain system: Optimize query expansion through machine learning MUM technology: cross-language and cross-modal content understanding (launched in 2021) Real-time trend analysis: Dynamic adjustment combined with Google Trends data 4. Result Ranking (Ranking) - Value Assessment Stage Core Ranking Elements Content Quality: Originality, Professional Depth, Update Frequency User Experience: Page Loading Speed (Core Web Vitals), Mobile Adaptation Authoritativeness: Domain Weight, External Link Quality, Author Qualifications (E-A-T Principle) Localization: Geographic Relevance, Language Adaptability Algorithm Features Dynamic Adjustment Mechanism: Ranking is partially updated every 12 hours, and major algorithms are updated 5000+ times a year Modular Evaluation: Safety Detection (Safe Browsing), Mobile-First Indexing Personalized processing: moderate result adjustment based on user portraits Feedback loop: user behaviors such as click-through rate/stay time affect subsequent rankings
3. Intent Analysis (Analysis) - Demand Analysis Phase
Search intent identification
Intent classification: navigation (42%), information (39%), transaction (19%) Natural language processing: word segmentation, part-of-speech tagging, dependency syntax analysis Entity recognition: Accurately locate proper nouns such as names of people/places/institutions Context understanding: Combine user geographic location, search history, device type Intent classification: navigation (42%), information (39%), transaction (19%) Natural language processing: word segmentation, part-of-speech tagging, dependency syntax analysis Entity recognition: Accurately locate proper nouns such as names of people/places/institutions Context understanding: Combine user geographic location, search history, device type
Core technology support
BERT model: Processing semantic relevance of long-tail queries RankBrain system: Optimize query expansion through machine learning MUM technology: cross-language and cross-modal content understanding (launched in 2021) Real-time trend analysis: Dynamic adjustment combined with Google Trends data BERT model: Processing semantic relevance of long-tail queries RankBrain system: Optimize query expansion through machine learning MUM technology: cross-language and cross-modal content understanding (launched in 2021) Real-time trend analysis: Dynamic adjustment combined with Google Trends data
4. Result Ranking (Ranking) - Value Assessment Stage
Core Ranking Elements
Content Quality: Originality, Professional Depth, Update Frequency User Experience: Page Loading Speed (Core Web Vitals), Mobile Adaptation Authoritativeness: Domain Weight, External Link Quality, Author Qualifications (E-A-T Principle) Localization: Geographic Relevance, Language Adaptability Content Quality: Originality, Professional Depth, Update Frequency User Experience: Page Loading Speed (Core Web Vitals), Mobile Adaptation Authoritativeness: Domain Weight, External Link Quality, Author Qualifications (E-A-T Principle) Localization: Geographic Relevance, Language Adaptability
Algorithm Features
Dynamic Adjustment Mechanism: Ranking is partially updated every 12 hours, and major algorithms are updated 5000+ times a year Modular Evaluation: Safety Detection (Safe Browsing), Mobile-First Indexing Personalized processing: moderate result adjustment based on user portraits Feedback loop: user behaviors such as click-through rate/stay time affect subsequent rankings Dynamic Adjustment Mechanism: Ranking is partially updated every 12 hours, and major algorithms are updated 5000+ times a year Modular Evaluation: Safety Detection (Safe Browsing), Mobile-First Indexing Personalized processing: moderate result adjustment based on user portraits Feedback loop: user behaviors such as click-through rate/stay time affect subsequent rankings FAQ analysis Q1: How long does it take for a new website to be indexed? A: It usually takes 4 days to 4 weeks, and you can actively submit it through Search Console to accelerate the inclusion. Q2: How to delete indexed content? A: You can use the "removal tool" to temporarily hide it, or set the noindex tag to permanently delete it. Q3: Will duplicate content be punished? A: It will not be punished directly, but it will trigger the content aggregation mechanism. It is recommended to use the canonical tag to indicate the original source. FAQ analysis Q1: How long does it take for a new website to be indexed? A: It usually takes 4 days to 4 weeks, and you can actively submit it through Search Console to accelerate the inclusion. Q2: How to delete indexed content? A: You can use the "removal tool" to temporarily hide it, or set the noindex tag to permanently delete it. Q3: Will duplicate content be punished? A: It will not be punished directly, but it will trigger the content aggregation mechanism. It is recommended to use the canonical tag to indicate the original source.
FAQ analysis
Q1: How long does it take for a new website to be indexed? A: It usually takes 4 days to 4 weeks, and you can actively submit it through Search Console to accelerate the inclusion.
Q2: How to delete indexed content? A: You can use the "removal tool" to temporarily hide it, or set the noindex tag to permanently delete it.
Q3: Will duplicate content be punished? A: It will not be punished directly, but it will trigger the content aggregation mechanism. It is recommended to use the canonical tag to indicate the original source.
Q1: How long does it take for a new website to be indexed? A: It usually takes 4 days to 4 weeks, and you can actively submit it through Search Console to accelerate the inclusion. Q1: How long does it take for a new website to be indexed? Q2: How to delete indexed content? A: You can use the "removal tool" to temporarily hide it, or set the noindex tag to permanently delete it. Q2: How to delete indexed content? Q3: Will duplicate content be punished? A: It will not be punished directly, but it will trigger the content aggregation mechanism. It is recommended to use the canonical tag to indicate the original source. Q3: Will duplicate content be punished?