Prompt
What should I use for content recommendations on a homepage?
Latest observation
Oct 7, 2026
OpenAI APIWeb search: off
For homepage content recommendations, the best choice depends on your traffic, data maturity, and how personalized you want the experience to be. Here’s the practical rule of thumb:
Good default options
-
Trending / Popular content
- Best when you have limited user history.
- Works well for new visitors and as a fallback.
- Easy to explain and usually performs reliably.
-
Recently viewed / continue where you left off
- Great for returning users.
- High intent, often strong engagement.
- Simple and very effective if you have session/user history.
-
Personalized recommendations
- Best for logged-in users with enough behavior data.
- Typically based on clicks, views, likes, follows, purchases, or reading history.
- Can significantly improve relevance, but needs more data and tuning.
Strong homepage strategy
A common and effective setup is:
- Top section: personalized or continue-watching/reading
- Second section: trending/popular
- Third section: category-based or topic-based recommendations
- Fallback for new users: popular, editorial picks, or location/language-based content
If you’re just starting
Use:
- Popular/trending
- Editor’s picks
- Category-based modules
- Simple personalization later
If you already have user data
Use:
- Collaborative filtering
- Content-based recommendations
- Hybrid recommendations
- Business rules to avoid low-quality or repetitive results
Best practice
Use a hybrid approach:
- personalized where possible
- popular/trending as fallback
- editorial/business rules for quality control
- diversity so the homepage doesn’t feel repetitive
If you want, I can recommend the best approach based on your site type — for example: news, ecommerce, media streaming, SaaS, or community platform.