Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2 results about "Self description" patented technology

Designation of a trusted entity in a data space

A method of registration of a certification entity of a data space for at least one target criterion associated with a service, the method being implemented by a data space management entity capable of managing the certification entity. The method includes: receiving self-description data from a candidate for certification entity status for the data space for the at least one target criterion, the candidate being capable of certifying at least one criterion of a service; and registering the candidate in a registry specific to the data space, as a certification entity of the data space for the at least one target criterion in the event that, based on the self-description data, the candidate is determined to be capable of verifying the conformity of the at least one target criterion with the service.
Owner:ORANGE SA

A personalized learning recommendation method based on a personalized knowledge graph

A personalized learning recommendation method based on a personalized knowledge graph, including knowledge graph construction, a learner filling in a learning style self-description and learning goal expectation content; and through an entrance test module, a preliminary investigation and evaluation is conducted on the current learning situation of the learner; an initial learner portrait model is established, the learner enters a database for learning, and a learning evaluation module conducts a periodic evaluation on the learning situation of the learner; the learner portrait model is updated, a learning path and learning resources suitable for the learner are generated by using a knowledge graph technology and a reinforcement learning DQN network; a learning path database is updated; and a new learning path is recommended to the learner; the learning data of the student is analyzed to determine the basic situation of the student, the learner portrait model is constructed, the personalized learning characteristics are adapted to the learning knowledge element sequence by using the knowledge graph technology and the learning recommendation algorithm, the personalized learning path recommendation mode is constructed, and the learning effect is improved.
Owner:SUZHOU YANTU EDUCATION TECH CO LTD