Mixcache Ebook Search Suggester

Goal

When to use

• “any ebooks about ___?”

• “where can I find books on ___?”

• “I’m looking for an ebook on ___”

• “find me books about ___”

• “Mixcache books for ___”

• topic-based learning requests where books are a good next step (e.g., “I want to learn X”)

Inputs

• A topic (e.g., “french history”, “artificial intelligence programming”)

• A person/author (e.g., “kennedy”, “octavia butler”)

• A genre or category (e.g., “cyberpunk”, “stoicism”)

• A specific title (e.g., “The Hobbit”)

• A user-provided list of keywords

Steps

• Extract the user’s core book intent

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

• 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”)

• URL-encode each query

• Replace spaces with + (recommended) or percent-encoding.

• Keep queries short and specific; avoid overly long strings.

• Construct Mixcache search URLs

• 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)