A4 Article in conference proceedings
Vectors of Pairwise Item Preferences (2019)


Pandey, G., Wang, S., Ren, Z., & Chang, Y. (2019). Vectors of Pairwise Item Preferences. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, & D. Hiemstra (Eds.), ECIR 2019: Advances in Information Retrieval : 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–-8, 2019, Proceedings, Part I (pp. 323-336). Springer. Lecture Notes in Computer Science, 11437. https://doi.org/10.1007/978-3-030-15712-8_21


JYU authors or editors


Publication details

All authors or editors: Pandey, Gaurav; Wang, Shuaiqiang; Ren, Zhaochun; Chang, Yi

Parent publication: ECIR 2019: Advances in Information Retrieval : 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14–-8, 2019, Proceedings, Part I

Parent publication editors: Azzopardi, Leif; Stein, Benno; Fuhr, Norbert; Mayr, Philipp; Hauff, Claudia; Hiemstra, Djoerd

Conference:

  • European Conference on Information Retrieval

ISBN: 978-3-030-15711-1

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

Publication year: 2019

Number in series: 11437

Pages range: 323-336

Number of pages in the book: 881

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-030-15712-8_21

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/66917

Additional information: Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11437). ECIR 2019, 14-18 April Cologne, Germany.


Keywords: recommender systems; neural computation

Free keywords: vectorization; neural embedding


Contributing organizations

Other organizations:


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 2


Last updated on 2021-02-08 at 10:22