A Method of Query Recommendation Based on User Behavior
Yuxin Zhang, Daming Sun, Dawei Jin, Zhaoqi Liu, Yankui Guan, Hui Liu · 2018
Search engine query recommendation method based on the logs is that recommend query according to the behavior popularity, this method ignores the differences in search requirements that causes by individual user backgrounds. To reduce the risk of query recommendation failure and enhance recommendation quality, query recommendation method is proposed in this article, users are divided into different group, different recommendation services are provided to different group, to realize differentiated recommendation services to different user group. Experiment result based on real data indicates that this method can control the risk of recommendation failure, at the same time, improve the user's satisfaction with recommendation result.