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ORCIDYukihiro Tagami
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2010 – 2019
- 2019
[j3]Yukihiro Tagami:
Recursive Nearest Neighbor Graph Partitioning for Extreme Multi-Label Learning. IEICE Trans. Inf. Syst. 102-D(3): 579-587 (2019)- [c14]Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki:
Cross-Domain Recommendation via Deep Domain Adaptation. ECIR (2) 2019: 20-29 - [c13]Tomoya Yamazaki, Kentaro Nishi, Takuya Makabe, Mei Sasaki, Chihiro Nishimoto, Hiroki Iwasawa, Masaki Noguchi, Yukihiro Tagami:
A Scalable and Plug-in Based System to Construct A Production-Level Knowledge Base. DI2KG@KDD 2019 - 2018
- [b1]Yukihiro Tagami:
Practical Web-scale Recommender Systems. Kyoto University, Japan, 2018 - [j2]Yukihiro Tagami, Hayato Kobayashi, Shingo Ono, Akira Tajima:
Representation Learning for Users' Web Browsing Sequences. IEICE Trans. Inf. Syst. 101-D(7): 1870-1879 (2018) - [j1]Yukihiro Tagami:
Speeding up Extreme Multi-Label Classifier by Approximate Nearest Neighbor Search. IEICE Trans. Inf. Syst. 101-D(11): 2784-2794 (2018) - [i1]Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki:
Cross-domain Recommendation via Deep Domain Adaptation. CoRR abs/1803.03018 (2018) - 2017
- [c12]Yukihiro Tagami:
AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification. KDD 2017: 455-464 - [c11]Shumpei Okura, Yukihiro Tagami, Shingo Ono, Akira Tajima:
Embedding-based News Recommendation for Millions of Users. KDD 2017: 1933-1942 - [c10]Yukihiro Tagami:
Learning Extreme Multi-label Tree-classifier via Nearest Neighbor Graph Partitioning. WWW (Companion Volume) 2017: 845-846 - 2016
- [c9]Yuki Yano, Yukihiro Tagami, Akira Tajima:
Quantifying Query Ambiguity with Topic Distributions. CIKM 2016: 1877-1880 - [c8]Heishiro Kanagawa, Taiji Suzuki, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami:
Gaussian process nonparametric tensor estimator and its minimax optimality. ICML 2016: 1632-1641 - [c7]Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami:
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning. NIPS 2016: 3783-3791 - [c6]Shumpei Okura, Yukihiro Tagami, Akira Tajima:
Article De-duplication Using Distributed Representations. WWW (Companion Volume) 2016: 87-88 - [c5]Kohei Yamamoto, Hayato Kobayashi, Yukihiro Tagami, Hideki Nakayama:
Multimodal Content-Aware Image Thumbnailing. WWW (Companion Volume) 2016: 129-130 - 2015
- [c4]Yukihiro Tagami, Hayato Kobayashi, Shingo Ono, Akira Tajima:
Modeling User Activities on the Web using Paragraph Vector. WWW (Companion Volume) 2015: 125-126 - 2014
- [c3]Yukihiro Tagami, Toru Hotta, Yusuke Tanaka, Shingo Ono, Koji Tsukamoto, Akira Tajima:
Filling context-ad vocabulary gaps with click logs. KDD 2014: 1955-1964 - [c2]Yukihiro Tagami, Toru Hotta, Yusuke Tanaka, Shingo Ono, Koji Tsukamoto, Akira Tajima:
Translation method of contextual information into textual space of advertisements. WWW (Companion Volume) 2014: 385-386 - 2013
- [c1]Yukihiro Tagami, Shingo Ono, Koji Yamamoto, Koji Tsukamoto, Akira Tajima:
CTR prediction for contextual advertising: learning-to-rank approach. AdKDD@KDD 2013: 4:1-4:8
Coauthor Index
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