Author: Takeshi Yamada

Publication Overview

Publication period start: 2009
Number of co-authors: 19

Co-Authors

Number of publications with favourite co-authors

Productive Colleagues

Most productive colleagues in number of publications

Publications

Iwata, Tomoharu, Saito, Kazumi, Yamada, Takeshi (2007): Modeling user behavior in recommender systems based on maximum entropy. In: Proceedings of the 2007 International Conference on the World Wide Web , 2007, . pp. 1281-1282. https://doi.acm.org/10.1145/1242572.1242808
Minami, Yasuhiro, Sawaki, Minako, Dohsaka, Kohji, Higashinaka, Ryuichiro, Ishizuka, Kentaro, Isozaki, Hideki, Matsubayashi, Tatsushi, Miyoshi, Masato, Nakamura, Atsushi, Oba, Takanobu, Sawada, Hiroshi, Yamada, Takeshi, Maeda, Eisaku (2007): The world of mushrooms: human-computer interaction prototype systems for ambient intellige. In: Massaro, Dominic W., Takeda, Kazuya, Roy, Deb, Potamianos, Alexandros (eds.) Proceedings of the 9th International Conference on Multimodal Interfaces - ICMI 2007 November 12-15, 2007, Nagoya, Aichi, Japan. pp. 366-373. https://doi.acm.org/10.1145/1322192.1322257
Fujimura, Ko, Fujimura, Shigeru, Matsubayashi, Tatsushi, Yamada, Takeshi, Okuda, Hidenori (2008): Topigraphy: visualization for large-scale tag clouds. In: Proceedings of the 2008 International Conference on the World Wide Web , 2008, . pp. 1087-1088. https://doi.acm.org/10.1145/1367497.1367669
Minami, Yasuhiro, Sawaki, Minako, Dohsaka, Kohji, Higashinaka, Ryuichiro, Ishizuka, Kentaro, Isozaki, Hideki, Matsubayashi, Tatsushi, Miyoshi, Masato, Nakamura, Atsushi, Oba, Takanobu, Sawada, Hiroshi, Yamada, Takeshi, Maeda, Eisaku (2007): The world of mushrooms: human-computer interaction prototype systems for ambient intellige. In: Proceedings of the 2007 International Conference on Multimodal Interfaces , 2007, . pp. 366-373. https://doi.acm.org/10.1145/1322192.1322257
Kawamae, Noriaki, Sakano, Hitoshi, Yamada, Takeshi (2009): Personalized recommendation based on the personal innovator degree. In: Proceedings of the 2009 ACM Conference on Recommender Systems , 2009, . pp. 329-332. https://dx.doi.org/10.1145/1639714.1639780
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