Method	Pros	Cons
Top-k Equal Weight (your approach)	Simple, focuses on key items	Ignores tail-end items
Full Set Equal Weight	Includes all data	Dilutes important items
Rank-based Weighting	Reflects priority differences	Requires subjective scaling
Frequency Weighting	Uses empirical importance	Requires occurrence data
Expert-assigned Weights	Most accurate	Time-intensive, subjective