Orthogonal query recommendations for children
Alicia Wood, Yiu‐Kai Ng · 2016
Children have become an ever-popular group of users who explore and search the Web. However, with this rise in popularity, there is still a gap in the amount of research that has been done to help children receive query recommendations applicable to their age group and understanding. We propose to develop an orthogonal query recommendation system and apply it specifically to children's queries. By using this recommender, we provide queries that are semantically different but conceptually very similar to a child's initial query. We have also validated our query recommendation system through Mean Reciprocal Ranking and Mean Average Precision to determine the accuracy of the recommended queries. Through this process, we have shown that the searching and browsing experience for children have improved and help them more easily find results that match their information needs.