测绘学报 Acta Geodaetica et Cartographica Sinica ISSN 1001-1595,CN 11-2089/P ，YANG Yuke1，WEI Erlong2，BAI Long1 1 .Institute of Remote Sensing Information of Beijing, Beijing 100011, China；2. The 54th Research Institute of CETC, Shijiazhuang Hebei 050081, China Abstract: 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 characteris
