Search Results for author: Jun Miyazaki

Found 2 papers, 2 papers with code

Knowledge-aware attentional neural network for review-based movie recommendation with explanations

1 code implementation Neural Computing and Applications 2022 Yun Liu, Jun Miyazaki

In this paper, we propose a knowledge-aware attentional neural network (KANN) for dealing with movie recommendation tasks by extracting knowledge entities from movie reviews and capturing understandable interactions between users and movies at the knowledge level.

Movie Recommendation Recommendation Systems +1

Jointly Learning Propagating Features on the Knowledge Graph for Movie Recommendation

1 code implementation Database and Expert Systems Applications 2022 Yun Liu, Jun Miyazaki, Qiong Chang

In the proposed framework, we use an attention-based multi-hop propagation mechanism to take users and movies as center nodes and extend their attributes along with the connections of the knowledge graph by recursively calculating the different contributions of their neighbors.

Knowledge Graph Embeddings Knowledge Graphs +2

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