Tourism recommendation system based on the knowledge graph feature learning is proposed and designed in this paper. The primary task for implementing a travel recommendation system is data collection, including user information, integrated user interaction records, tourist attraction information, and also contextual information. Among them, the user information primarily originates from the information entered by user in the registration process. The interaction record between the user and the system can be obtained from the system log, while the contextual information is entered by the user autonomously or obtained through various sensors. In this paper, a data processing and analytic framework is integrated to construct the novel scenario used for the recommendation. When compared the proposed model with the state-of-the-art research works, it has been proven that the proposed model can obtain the higher recommendation accuracy.

Tourism Recommendation System based on Knowledge Graph Feature Learning

The random obstacles in the shallow sea environment, the irregular underwater pavement and the high quality requirements of multimedia transmission make the multimedia applications of shallow sea face the problems of high bit error rate, low transmission rate and low video quality. In order to solve these problems, this paper proposes a multimedia transmission mechanism and its architecture for wireless communication in shallow water based on time-frequency mode autonomous separation. Firstly, based on the complex and changeable seabed structure, the underwater biota movement track and the dynamic topology of end to end communication, a shallow sea wireless multimedia transmission system is constructed. Secondly, based on the performance of multimedia streaming in the time domain and frequency domain, a real-time multimedia transmission control mechanism for the time frequency separation of autonomous controlled multimedia signals from FS and TS is proposed. Finally, the simulation experiment and the field test results of shallow sea show that the proposed algorithm has superior performance in transmission rate, transmission efficiency, delivery rate and real-time performance.

Aizezi Yasen

Papers

MTSW-SSTF: a wireless multimedia transmission scheme based on self-separation of time-frequency mode for shallow water