Automatic Layouting of Personalized Newspaper Pages
Abstract
Layouting items in a 2D-constrained container for maximizing item value and minimizing wasted space is a 2D Cutting and Packing problem. We consider this task in the context of layouting news articles on fixed-size pages in a system for delivering personalized newspapers. We propose a grid-based page structure where articles can be laid out in different variants for increased flexibility. In addition, we have developped a fitness function integrating aesthetic and relevance criteria for computing the value of a solution. We compare exhaustive, greedy and simulated annealing methods for generating personalized and aesthetically pleasing layouts of newspaper pages. Our results show that for the complex fitness function advanced C&P algorithms obtain nearly optimal values while the basic algorithms underperform.