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
Ministry reporting: Yes
Reporting Year: 2019
JUFO rating: 2