An intelligent recommendation method of multi-source remote sensing information considering user portrait

With the development of military-civilian-commercial satellites in recent years, many practical problems such as the lack of initiative and the lack of personalization in remote sensing data services have becoming increasingly serious, which restrict the intelligent application of remote sensing in multiple fields. Aiming at the problems, this paper designs an active recommendation method of remote sensing information based on user portrait model. Firstly, an extensible user portrait model was constructed that included five theme elements, including time, space, sensor, resolution and product level; Secondly, the weight, interval length and distribution characteristics of each element in the model are expressed and calculated in detail; Finally, combined with the weight and the interest characteristic of each element, the recommendation degree and the correlation degree between the data to be distributed and the interest characteristic value are calculated, so as to realize the ordered active recommendation of remote sensing data. Taking two users of the National Disaster Reduction Center of China and Beijing Anti-drug Brigade as examples, the experimental results based on real demand orders in past three years show that the distribution characteristics of the theme elements can objectively reflect the actual needs of users, and the average recommendation accuracy is better than 94%. The research results provide a model method for engineering realization of remote sensing data personalized service and intelligent recommendation. © 2023 SinoMaps Press. All rights reserved.