Continuous recipe selection model based on cooking history

Abstract

Thousands of different recipes are posted on recipe sites by consumers who often refer to them when they cook. Such users occasionally select new recipes. In this paper, we propose for users a recipe selection model composed of both preference and challenging viewpoints to appropriately predict recipes that users are more likely to cook next in continuous cooking behaviors. The occurrence probability of the challenging behaviors of each user is estimated from past cooking sequences, and recipe scores are calculated by incorporating preference and challenging viewpoints. Our experimental evaluations using actual cooking histories demonstrate the high prediction performance of our method.We clarified the estimation efficiency of users who tackle challenging recipes.