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General Session

General Session » GS-2 Machine learning

[1A4-GS-2] Machine learning: recommendation / feature analysis

Tue. Jun 14, 2022 2:20 PM - 4:00 PM Room A (Main Hall)

座長：竹岡邦紘（NEC）［現地］

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2:20 PM - 2:40 PM

[1A4-GS-2-01] A Study of Model Predicting User Attributes Based on Semi-supervised Learning by Ladder Network

〇Mizuki Takeuchi¹, Taichi Imafuku¹, Yuta Sakai¹, Masayuki Goto¹ (1. Waseda University)

2:40 PM - 3:00 PM

[1A4-GS-2-02] Recommendation with the Mixture of Multiple Object Similarities

〇Ryo Okuda¹, Noboru Murata¹ (1. Waseda University)

3:00 PM - 3:20 PM

[1A4-GS-2-03] A Study of Improving the Serendipity of Recommendation Lists Based on Collaborative Metric Learning

〇Akiko Yoneda¹, Ryota Matsunae¹, Haruka Yamashita², Masayuki Goto¹ (1. Waseda University, 2. Sophia University)

3:20 PM - 3:40 PM

[1A4-GS-2-04] A Study on Item Analysis Method Considering the Persistence of User Interest Based on Hidden Semi-Markov Model

〇Kirin Tsuchiya¹, Yuki Tsuboi¹, Ryotaro Shimizu¹, Goto Masayuki¹ (1. Waseda University)

3:40 PM - 4:00 PM

[1A4-GS-2-05] A Study of Emotion Classification Using Neural Network with Voice Data

〇Masashi Takaku¹, Shoichi Urano¹ (1. Meiji University)

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