Update README.md

README.md

@@ -13,59 +13,59 @@ Following is the complete list of machine learning models in Chrome many of whic
 
 C:\Users\{YOUR_USERNAME}\AppData\Local\Google\Chrome\User Data\optimization_guide_model_store
 
-Unknown Optimization – Used when the optimization target is not specified.
-Painful Page Load Prevention – Triggers optimizations when page load times are expected to cause user frustration.
-Language Detector – Optimizes for detecting the language of the page content.
-Page Topics Classifier – Analyzes and classifies the topics present on a page.
-New Tab User Targeting – Segments users based on their interaction with new tab pages.
-Content Sharing Optimizer – Targets users who frequently share content.
-Voice Interaction Optimizer – Segments users based on voice interaction with the web.
-Model Validation – Ensures models are working as intended during execution.
-Page Entities Classifier – Detects and classifies entities (e.g., people, places, things) on a page.
-Notification Permission Predictor – Predicts whether a user is likely to allow notification permissions.
-Dummy Data Collection – Used for running experiments and collecting data client-side.
-Android Chrome Start Page Targeting – Segments users who frequently use Chrome’s Android start page.
-Query Tiles Targeting – Segments users interacting with query tiles.
-Page Visibility Detector – Optimizes based on the visibility of a page’s content.
-Page Topics Classifier V2 – A refined version of the page topics classifier.
-Low Engagement User Targeting – Segments users with low engagement on Chrome.
-Feed User Targeting – Targets users who prefer using content feeds.
-Price Tracking Action – Determines if price tracking should be shown as a contextual action.
-Text Classifier – Optimizes for smart text selection and entity extraction.
-Geolocation Permission Predictor – Predicts if a user will allow geolocation permissions.
-Shopping User Targeting – Segments users interested in shopping.
-Android Chrome Start Page Targeting V2 – Updated targeting for Chrome’s Android start page users.
-Search User Targeting – Segments users who frequently use search.
-Omnibox Tail Suggestions – Optimizes on-device suggestions in the Chrome Omnibox.
-Client-Side Phishing Protection – Protects against phishing attacks by analyzing client-side data.
-Omnibox URL Scoring – Optimizes URL suggestions in the Chrome Omnibox.
-Device Switcher Targeting – Targets users who switch between devices.
-Adaptive Toolbar Optimizer – Optimizes the toolbar based on user behavior.
-Tablet Productivity User Targeting – Segments tablet users who focus on productivity tasks.
-Phishing Image Protection – Embeds images to protect against phishing attacks.
-History Clusters Ranking – Ranks history clusters for the New Tab Page module.
-Web App Install Promotion – Promotes web app installations.
-Text Embedder – Embeds text for efficient storage and retrieval.
-Visual Search Classifier – Classifies and extracts search-related images from a webpage.
-Bottom Toolbar Targeting – Segments users based on bottom toolbar interaction.
-Autofill Field Classifier – Optimizes autofill suggestions by classifying form fields.
-iOS Module Ranker – Ranks modules on the iOS start page.
-Desktop NTP Module Optimizer – Determines which modules to display on a desktop’s New Tab Page.
-Preloading Heuristics – Optimizes preloading of links based on speculation rules.
-Text Safety Detector – Ensures the safety of text content on a page.
-Android Home Module Ranker – Ranks home modules for Android users.
-Compose On-Device Optimizer – Supports running the Compose feature on devices.
-Passage Embedder – Embeds passages for retrieval and analysis.
-Phrase Segmentation – Breaks up text into meaningful phrases.
-Compose Promotion Targeting – Targets users for promoting the Compose feature.
-URL Visit Resumption Ranker – Ranks URL visits for features that allow resuming visits.
-Camera Background Segmentation – Segments video frames to optimize camera backgrounds.
-History Search Optimizer – Optimizes search within browser history.
-Prompt API Optimizer – Configures optimizations for the Prompt API.
-Metrics Clustering Optimizer – Segments users based on metrics clustering.
-Summarize API Optimizer – Configures the API that summarizes content.
-Password Manager Form Classifier – Classifies forms to optimize password management.
-Suspicious Notification Detection – Detects potentially suspicious notification content.
-History Query Intent Optimizer – Classifies the intent behind history queries.
+- Unknown Optimization – Used when the optimization target is not specified.
+- Painful Page Load Prevention – Triggers optimizations when page load times are expected to cause user frustration.
+- Language Detector – Optimizes for detecting the language of the page content.
+- Page Topics Classifier – Analyzes and classifies the topics present on a page.
+- New Tab User Targeting – Segments users based on their interaction with new tab pages.
+- Content Sharing Optimizer – Targets users who frequently share content.
+- Voice Interaction Optimizer – Segments users based on voice interaction with the web.
+- Model Validation – Ensures models are working as intended during execution.
+- Page Entities Classifier – Detects and classifies entities (e.g., people, places, things) on a page.
+- Notification Permission Predictor – Predicts whether a user is likely to allow notification permissions.
+- Dummy Data Collection – Used for running experiments and collecting data client-side.
+- Android Chrome Start Page Targeting – Segments users who frequently use Chrome’s Android start page.
+- Query Tiles Targeting – Segments users interacting with query tiles.
+- Page Visibility Detector – Optimizes based on the visibility of a page’s content.
+- Page Topics Classifier V2 – A refined version of the page topics classifier.
+- Low Engagement User Targeting – Segments users with low engagement on Chrome.
+- Feed User Targeting – Targets users who prefer using content feeds.
+- Price Tracking Action – Determines if price tracking should be shown as a contextual action.
+- Text Classifier – Optimizes for smart text selection and entity extraction.
+- Geolocation Permission Predictor – Predicts if a user will allow geolocation permissions.
+- Shopping User Targeting – Segments users interested in shopping.
+- Android Chrome Start Page Targeting V2 – Updated targeting for Chrome’s Android start page users.
+- Search User Targeting – Segments users who frequently use search.
+- Omnibox Tail Suggestions – Optimizes on-device suggestions in the Chrome Omnibox.
+- Client-Side Phishing Protection – Protects against phishing attacks by analyzing client-side data.
+- Omnibox URL Scoring – Optimizes URL suggestions in the Chrome Omnibox.
+- Device Switcher Targeting – Targets users who switch between devices.
+- Adaptive Toolbar Optimizer – Optimizes the toolbar based on user behavior.
+- Tablet Productivity User Targeting – Segments tablet users who focus on productivity tasks.
+- Phishing Image Protection – Embeds images to protect against phishing attacks.
+- History Clusters Ranking – Ranks history clusters for the New Tab Page module.
+- Web App Install Promotion – Promotes web app installations.
+- Text Embedder – Embeds text for efficient storage and retrieval.
+- Visual Search Classifier – Classifies and extracts search-related images from a webpage.
+- Bottom Toolbar Targeting – Segments users based on bottom toolbar interaction.
+- Autofill Field Classifier – Optimizes autofill suggestions by classifying form fields.
+- iOS Module Ranker – Ranks modules on the iOS start page.
+- Desktop NTP Module Optimizer – Determines which modules to display on a desktop’s New Tab Page.
+- Preloading Heuristics – Optimizes preloading of links based on speculation rules.
+- Text Safety Detector – Ensures the safety of text content on a page.
+- Android Home Module Ranker – Ranks home modules for Android users.
+- Compose On-Device Optimizer – Supports running the Compose feature on devices.
+- Passage Embedder – Embeds passages for retrieval and analysis.
+- Phrase Segmentation – Breaks up text into meaningful phrases.
+- Compose Promotion Targeting – Targets users for promoting the Compose feature.
+- URL Visit Resumption Ranker – Ranks URL visits for features that allow resuming visits.
+- Camera Background Segmentation – Segments video frames to optimize camera backgrounds.
+- History Search Optimizer – Optimizes search within browser history.
+- Prompt API Optimizer – Configures optimizations for the Prompt API.
+- Metrics Clustering Optimizer – Segments users based on metrics clustering.
+- Summarize API Optimizer – Configures the API that summarizes content.
+- Password Manager Form Classifier – Classifies forms to optimize password management.
+- Suspicious Notification Detection – Detects potentially suspicious notification content.
+- History Query Intent Optimizer – Classifies the intent behind history queries.
 
 Source: [DEJAN](https://dejan.ai/blog/chrome-ai-models/)