General User Explanation

Maika Genius needs to understand your product categories and their descriptions to help you improve them. However, at the beginning, when you have very few product descriptions, it's difficult for the AI to "learn" what good categories look like. This task focuses on how we solve this initial "chicken or egg" problem.

Developer Explanation

Address the cold-start problem in category generation and refinement. The system needs a strategy to bootstrap category creation and description when limited product data is available, and also to refine existing categories. Consider the following approaches:

• Method 1: Core Category Blueprint:

• Leverage website information and standard e-commerce categories (e.g., based on the type of products sold) to create a basic category structure. This includes defining a hierarchy and providing initial, generic descriptions for each category.
• Example: If the website sells clothing, create categories like "Men's Apparel," "Women's Apparel," "Kids' Apparel," and subcategories like "T-shirts," "Pants," "Dresses," etc.

• Method 2: Existing Category Enhancement:

• Use the website's current categories as a starting point.
• Analyze existing product descriptions and website content to identify keywords and phrases relevant to each category.
• Enhance the category descriptions based on these insights, making them more informative and SEO-friendly.

• Method 3: Intent-Driven Category Description:

• The primary goal of product categorization is to narrow down the product list based on user intent (User's intent => Category => Products).
• This method uses user intent to generate or improve category descriptions.
• Analyze user questions or search queries to understand the underlying intent.
• Use this intent to create more targeted and relevant category descriptions.
• Example: If many users search for "comfortable running shoes," the "Running Shoes" category description could be updated to emphasize comfort features.

• Method 4: Product-Category Reconciliation:

• Implement cross-validation between product descriptions and category descriptions.
• Analyze product descriptions to identify potential category mismatches or missing categories.
• Evaluate category descriptions against the products they contain to ensure consistency and relevance.

Preferred flow

Additional Tools

• Category Description Assessment: Evaluate the quality and completeness of category descriptions against website information, industry best practices, and SEO guidelines.
• Category Consistency Against Products: Analyze whether the products listed under a category truly belong there based on their descriptions. Identify potential misclassifications.
• Product Consistency Against Category: Determine the suitability of product categorization based on the product description compared to the category description.