Estratégias de ordenação para completar consultas em E-Commerce

Abstract

The number of people who buy products on e-commerce sites has been growing in recent years. The ease and comfort coupled with the growing security of the websites made it possible for more people to buy products with just a few clicks. In this universe, one of the first systems that a user encounters in the purchase process is the Automatic Query Complement, which suggests queries and products for each letter entered in the search box by the buyer. Knowing which queries to suggest to each letter typed and sorting them in the best possible way is the challenge of this system. This work focuses on knowing the best source of these queries and examines strategies for sorting queries in E-Commerce. In all of our research we did not find a paper that studies this theme in this scenario, making this work the pioneer in the subject. The strategies implemented in this paper were tested in Brazilian and Latin American retail real stores. The results were different in each store. The MRR at a Brazilian cosmetics store, for example, using one of the strategies developed in this paper, reached almost 0.8 for prefixes with three typed letters and 0.6 for an Appliances store with the same prefix size.