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This reponsitory includes the code and dataset for the paper: | ||
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Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang. | ||
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation | ||
Algorithms. 2018, 11(9). Special Issue Collaborative Filtering and Recommender Systems. | ||
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which conducts knowledge graph reasoning to provide explainable recommendations. | ||
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The code consisits of two basic modules, a recommendation module (main.py and MultiViewEmbedding.py), and an explanation module (explain_results.py). | ||
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@article{DBLP:journals/algorithms/AiACZ18, | ||
title = {Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation}, | ||
author = {Qingyao Ai and Vahid Azizi and Xu Chen and Yongfeng Zhang}, | ||
url = {https://doi.org/10.3390/a11090137}, | ||
doi = {10.3390/a11090137}, | ||
year = {2018}, | ||
journal = {Algorithms}, | ||
volume = {11}, | ||
number = {9}, | ||
pages = {137}, | ||
keywords = {}, | ||
pubstate = {published}, | ||
tppubtype = {article} | ||
} |
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All datasets used by the code can be downloaded from the following URL: | ||
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https://www.dropbox.com/s/th672ttebwxhsfx/CIKM2017.zip?dl=0 |