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How to make latent factors interpretable by feeding Factorization machines with knowledge graphs
Published on 2019-12-10182 Views
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Presentation
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The role of transparency and interpretability in RecSys - 200:59
The role of transparency and interpretability in RecSys - 301:49
The role of transparency and interpretability in RecSys - 402:19
Research Questions02:37
Knowledge-aware Hybrid Factorization Machines - 103:17
Knowledge-aware Hybrid Factorization Machines - 204:08
Knowledge-aware Hybrid Factorization Machines - 304:13
Knowledge-aware Hybrid Factorization Machines - 404:19
Knowledge-aware Hybrid Factorization Machines - 504:24
Knowledge-aware Hybrid Factorization Machines - 604:35
Knowledge-aware Hybrid Factorization Machines - 704:56
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Knowledge-aware Hybrid Factorization Machines - 905:34
Knowledge-aware Hybrid Factorization Machines - 1006:22
Knowledge-aware Hybrid Factorization Machines - 1106:33
Knowledge-aware Hybrid Factorization Machines - 1206:47
Knowledge-aware Hybrid Factorization Machines - 1306:58
Knowledge-aware Hybrid Factorization Machines - 1407:08
Knowledge-aware Hybrid Factorization Machines - 1507:23
Knowledge-aware Hybrid Factorization Machines - 1607:34
Star Trek: First Contact07:46
Personalized Recommendation08:27
Experimental Evaluation08:42
Accuracy Evaluation09:37
Semantic Accuracy - 110:31
Semantic Accuracy (Star Trek: First Contact)10:57
Semantic Accuracy - 211:25
Semantic Accuracy - 311:31
Generative Robustness - 111:48
Generative Robustness - 212:03
Generative Robustness - 312:14
Generative Robustness - 412:16
Generative Robustness - 512:28
Conclusion13:07
Thank you!13:15
How to make latent factors interpretable by feeding Factorization machines with knowledge graphs14:17