Sensors, Vol. 20, Pages 1918: Edge and Cloud Collaborative Entity Recommendation Method towards the IoT Search

Sensors, Vol. 20, Pages 1918: Edge and Cloud Collaborative Entity Recommendation Method towards the IoT Search
Sensors doi: 10.3390/s20071918
Authors:
Ruyan Wang
Yuzhe Liu
Puning Zhang
Xuefang Li
Xuyuan Kang

There are massive entities with strong denaturation of state in the physical world, and users have urgent needs for real-time and intelligent acquisition of entity information, thus recommendation technologies that can actively provide instant and precise entity state information come into being. Existing IoT data recommendation methods ignore the characteristics of IoT data and user search behavior; thus the recommendation performances are relatively limited. Considering the time-varying characteristics of the IoT entity state and the characteristics of user search behavior, an edge-cloud collaborative entity recommendation method is proposed via combining the advantages of edge computing and cloud computing. First, an entity recommendation system architecture based on the collaboration between edge and cloud is designed. Then, an entity identification method suitable for edge is presented, which takes into account the feature information of entities and carries out effective entity identification based on the deep clustering model, so as to improve the real-time and accuracy of entity state information search. Furthermore, an interest group division method applied in cloud is devised, which fully considers user’s potential search needs and ...

Source: Sensors - March 29, 2020 Category: Biotechnology Authors: Ruyan Wang Yuzhe Liu Puning Zhang Xuefang Li Xuyuan Kang Tags: Article Source Type: research