Yukihiro Tagami

19 papers A* 4A 1Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2019 — conf
A Scalable and Plug-in Based System to Construct A Production-Level Knowledge Base.
DI2KG@KDD
Tomoya Yamazaki, Kentaro Nishi, Takuya Makabe, Mei Sasaki, Chihiro Nishimoto, Hiroki Iwasawa, Masaki Noguchi, Yukihiro Tagami
2019 — conf
Cross-Domain Recommendation via Deep Domain Adaptation.
ECIR (2)
Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki
2019 J jnl
Recursive Nearest Neighbor Graph Partitioning for Extreme Multi-Label Learning.
IEICE Trans. Inf. Syst.
Yukihiro Tagami
2018 J jnl
Cross-domain Recommendation via Deep Domain Adaptation.
CoRR
Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki
2018 — —
Practical Web-scale Recommender Systems.
Yukihiro Tagami
2018 J jnl
Representation Learning for Users' Web Browsing Sequences.
IEICE Trans. Inf. Syst.
Yukihiro Tagami, Hayato Kobayashi, Shingo Ono, Akira Tajima
2018 J jnl
Speeding up Extreme Multi-Label Classifier by Approximate Nearest Neighbor Search.
IEICE Trans. Inf. Syst.
Yukihiro Tagami
2017 A* conf
AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification.
KDD
Yukihiro Tagami
2017 A* conf
Embedding-based News Recommendation for Millions of Users.
KDD
Shumpei Okura, Yukihiro Tagami, Shingo Ono, Akira Tajima
2017 — conf
Learning Extreme Multi-label Tree-classifier via Nearest Neighbor Graph Partitioning.
WWW (Companion Volume)
Yukihiro Tagami
2016 — conf
Article De-duplication Using Distributed Representations.
WWW (Companion Volume)
Shumpei Okura, Yukihiro Tagami, Akira Tajima
2016 A* conf
Gaussian process nonparametric tensor estimator and its minimax optimality.
ICML
Heishiro Kanagawa, Taiji Suzuki, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami
2016 — conf
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning.
NIPS
Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami
2016 — conf
Multimodal Content-Aware Image Thumbnailing.
WWW (Companion Volume)
Kohei Yamamoto, Hayato Kobayashi, Yukihiro Tagami, Hideki Nakayama
2016 A conf
Quantifying Query Ambiguity with Topic Distributions.
CIKM
Yuki Yano, Yukihiro Tagami, Akira Tajima
2015 — conf
Modeling User Activities on the Web using Paragraph Vector.
WWW (Companion Volume)
Yukihiro Tagami, Hayato Kobayashi, Shingo Ono, Akira Tajima
2014 A* conf
Filling context-ad vocabulary gaps with click logs.
KDD
Yukihiro Tagami, Toru Hotta, Yusuke Tanaka, Shingo Ono, Koji Tsukamoto, Akira Tajima
2014 — conf
Translation method of contextual information into textual space of advertisements.
WWW (Companion Volume)
Yukihiro Tagami, Toru Hotta, Yusuke Tanaka, Shingo Ono, Koji Tsukamoto, Akira Tajima
2013 — conf
CTR prediction for contextual advertising: learning-to-rank approach.
AdKDD@KDD
Yukihiro Tagami, Shingo Ono, Koji Yamamoto, Koji Tsukamoto, Akira Tajima