Mixcache Ebook Search Suggester

Steps

1. Extract the user’s core book intent

   • Identify the main topic, author, title, time period, or subfield the user wants.

2. Generate 1–6 high-signal query variants

   • Start with the user’s exact phrasing.
   • Add useful variants when it increases success:
     • Synonyms (e.g., “AI” ↔ “artificial intelligence”)
     • Subtopics (e.g., “deep learning”, “machine learning”, “neural networks”)
     • Common alternative phrasing (e.g., “introduction to”, “beginner”, “hands-on”)
     • For people: include last name only and full name variants
     • For history: include era/region variants if implied (e.g., “19th century”, “revolution”)

3. URL-encode each query

   • Replace spaces with + (recommended) or percent-encoding.
   • Keep queries short and specific; avoid overly long strings.

4. Construct Mixcache search URLs Use exactly: https://mixcache.com/books/search?q=<encoded_query>

5. Respond with the suggested search pages

   • Provide the links as clickable URLs.
   • Include a brief note telling the user they can refine results by trying the alternate links.

Output format (recommended)

One short lead-in + 1 link per line, optionally grouped by “Try these variations”.

Example:

Here are Mixcache ebook search pages that should match what you’re looking for: