关于开发Google Home读取指定网站文章Action的可行性咨询

Absolutely feasible! Building a Google Home Action for voice-driven reading of user-selected website articles is totally achievable with Google's Assistant ecosystem. Let me break down the key details for you:

Google’s Actions on Google framework (powered by Actions Builder or Dialogflow) is tailor-made for this kind of custom voice interaction:

• You can design a flow where users first select articles from your predefined list via voice commands—intent matching tools will handle parsing user choices reliably.
• Once an article is selected, you can fetch its clean content (make sure to respect target sites’ robots.txt or use official APIs if available) and pass it to Google Assistant’s built-in Text-to-Speech (TTS) engine for audio playback.
• For math formulas: Google Assistant’s native TTS struggles with raw LaTeX or symbolic notation, but you can pre-process formulas into natural language descriptions (e.g., turn ∫x²dx into "the integral of x squared with respect to x") or store rendered formula images for display on screen-enabled Google Nest devices alongside audio.

There are a few references to draw inspiration from:

• Google Assistant’s native "Read Aloud": A built-in feature that reads web articles, but it’s generic and doesn’t tie to a user’s custom selected list.
• Pocket Voice Action: Lets users command Google Home to read articles saved to their Pocket account—this mirrors your core voice-to-article workflow, though it integrates with an existing service rather than a custom list/database.
• Instapaper Official Action: Similar to Pocket Voice, it supports voice-triggered reading of articles saved to Instapaper, following the same "save first, read via voice later" pattern.

• Voice Flow Design: Use Actions Builder to create intents like LaunchMyReader (to trigger your Action) and SelectSpecificArticle (to capture user choices). Leverage context to remember a user’s previously selected list so they don’t have to re-specify it every time.
• Content Cleaning: Use web scraping tools (or official content APIs) to strip ads, navigation, and other non-article content—this ensures the TTS reads only the relevant text.
• Math Formula Database: For your custom database, store each formula with:
  • Raw symbolic notation (e.g., LaTeX)
  • A natural language pronunciation script
  • Optional: A rendered image URL for screen devices
  • Tie all entries to user IDs (via Google Assistant’s unique user identifiers) to track their selected articles and preferences.

内容的提问来源于stack exchange，提问作者Giorgio Maritano