Design a ranking system for modules on an e-commerce homepage. Candidate modules include trending products and seasonal or holiday sales. Focus on the product goal and the business consequences of the ranking, then explain the modeling and serving approach.
### Constraints & Assumptions
A module is a block of content, not a single product. The report does not fix the number of slots, candidate-generation rules, or objective. State those assumptions and distinguish ranking modules from ranking the items inside each module.
### Clarifying Questions
Which user outcomes matter? Are some modules contractual or mandatory? How fresh must trending and holiday content be? Can several modules show overlapping products?
### What a Strong Answer Covers
Define candidate eligibility, contextual value, slot effects, diversity and overlap constraints, and an experiment that captures the effect on the whole homepage.
### Follow-up Questions
How would you rank for a new visitor, evaluate a new holiday module without historical clicks, and avoid showing several nearly identical modules? What would you do if clicks rise but purchases or user satisfaction fall?
Overview: Rank e-commerce homepage modules using business objectives, seasonal eligibility, slot effects, slate diversity, cold-start exploration, and page-level experiments.
Design a ranking system for modules on an e-commerce homepage. Candidate modules include trending products and seasonal or holiday sales. Focus on the product goal and the business consequences of the ranking, then explain the modeling and serving approach.
Constraints & Assumptions
A module is a block of content, not a single product. The report does not fix the number of slots, candidate-generation rules, or objective. State those assumptions and distinguish ranking modules from ranking the items inside each module.
Clarifying Questions Guidance
Which user outcomes matter? Are some modules contractual or mandatory? How fresh must trending and holiday content be? Can several modules show overlapping products?
What a Strong Answer Covers Guidance
Define candidate eligibility, contextual value, slot effects, diversity and overlap constraints, and an experiment that captures the effect on the whole homepage.
Follow-up Questions Guidance
How would you rank for a new visitor, evaluate a new holiday module without historical clicks, and avoid showing several nearly identical modules? What would you do if clicks rise but purchases or user satisfaction fall?