Recommendation system and recommendation method for inferring edge information in a hyperbolic space and performing user-specific recommendation

A recommendation system for inferring edge information in a hyperbolic space, the system comprising:

• a data receiver configured to collect user review data and item review data and to construct review document sets respectively corresponding to each user and each item;
• an embedding processor configured to convert the review document sets into coordinates of a hyperbolic space and to map each user and each item to a hyperbolic vector representation;
• a feature extractor configured to receive the hyperbolic vector representations as input and to extract domain-shared features and domain-specific features for respective domains;
• and
• a recommendation processor configured to compute a similarity between a user and an item on the basis of the extracted features and to generate a recommendation result according to the similarity.