Institute for Information Industry

Tai-Chun Wang

Ping-I Chen

Meng-Jung Shih

Zon-Yin Shae

Ko-Yang Wang

Zonyin Shae

Ting-Chieh Tu

Ya-Hui Chan

A recommendation method includes providing an ontology database, in which the ontology database includes a plurality of entities, and the entities are arranged in an ontology hierarchy structure with N hierarchy levels; storing a plurality of jlevel user data respectively corresponding to a plurality of users; generating a plurality of klevel user data according to the jlevel user data respectively; clustering the klevel user data; and recommending the entities in the ontology database to the users according to a clustering result.

Recommendation system, method and non-transitory computer readable storage medium for storing thereof

An electronic computing device, a personalized information providing method thereof, and a non-transitory machine-readable medium thereof are provided. The electronic computing device establishes a first and a second tree structure data according to a first data of a first user and a second data of a second user arranged in a period respectively by using an ontology construction algorithm, and calculates a similarity between the first and the second tree structure data by using a similarity evaluating algorithm, and then analyzes the similarity to subsume the first and the second tree structure data into a group by using a clustering algorithm. The electronic computing device determines difference between the first and the second tree structure data according to the group and generates recommending information corresponding to the first user which is arranged in the period according to the difference, and then enables a monitor to display the recommending information.

Electronic computing device, personalized data recommending method thereof, and non-transitory machine-readable medium thereof

Growing community of inventors

Taipei, Taiwan

Tai-Chun Wang