Standard
User profiling in text-based recommender systems based on distributed word representations. / Alekseev, Anton; Nikolenko, Sergey.
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Revised Selected Papers. ed. / Natalia Loukachevitch; Alexander Panchenko; Konstantin Vorontsov; Valeri G. Labunets; Andrey V. Savchenko; Dmitry I. Ignatov; Sergey I. Nikolenko; Mikhail Yu. Khachay. Springer Nature, 2017. p. 196-207 (Communications in Computer and Information Science; Vol. 661).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Alekseev, A & Nikolenko, S 2017,
User profiling in text-based recommender systems based on distributed word representations. in N Loukachevitch, A Panchenko, K Vorontsov, VG Labunets, AV Savchenko, DI Ignatov, SI Nikolenko & MY Khachay (eds),
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Revised Selected Papers. Communications in Computer and Information Science, vol. 661, Springer Nature, pp. 196-207, 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, Yekaterinburg, Russian Federation,
7/04/16.
https://doi.org/10.1007/978-3-319-52920-2_19
APA
Alekseev, A., & Nikolenko, S. (2017).
User profiling in text-based recommender systems based on distributed word representations. In N. Loukachevitch, A. Panchenko, K. Vorontsov, V. G. Labunets, A. V. Savchenko, D. I. Ignatov, S. I. Nikolenko, & M. Y. Khachay (Eds.),
Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Revised Selected Papers (pp. 196-207). (Communications in Computer and Information Science; Vol. 661). Springer Nature.
https://doi.org/10.1007/978-3-319-52920-2_19
Vancouver
Alekseev A, Nikolenko S.
User profiling in text-based recommender systems based on distributed word representations. In Loukachevitch N, Panchenko A, Vorontsov K, Labunets VG, Savchenko AV, Ignatov DI, Nikolenko SI, Khachay MY, editors, Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Revised Selected Papers. Springer Nature. 2017. p. 196-207. (Communications in Computer and Information Science).
https://doi.org/10.1007/978-3-319-52920-2_19
Author
BibTeX
@inproceedings{0d75c0216c8241d68d266210b640ef2c,
title = "User profiling in text-based recommender systems based on distributed word representations",
abstract = "We introduce a novel approach to constructing user profiles for recommender systems based on full-text items such as posts in a social network and implicit ratings (in the form of likes) that users give them. The profiles measure a user{\textquoteright}s interest in various topics mined from the full texts of the items. As a result, we get a user profile that can be used for cold start recommendations for items, targeted advertisement, and other purposes. Our experiments show that the method performs on a level comparable with classical collaborative filtering algorithms while at the same time being a cold start approach, i.e., it does not use the likes of an item being recommended.",
keywords = "Distributed word representations, Recommender systems, User profiling, recommender system, user profiling, natural language processing, machine learning, vector semantics",
author = "Anton Alekseev and Sergey Nikolenko",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016 ; Conference date: 07-04-2016 Through 09-04-2016",
year = "2017",
doi = "10.1007/978-3-319-52920-2_19",
language = "English",
isbn = "9783319529196",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "196--207",
editor = "Natalia Loukachevitch and Alexander Panchenko and Konstantin Vorontsov and Labunets, {Valeri G.} and Savchenko, {Andrey V.} and Ignatov, {Dmitry I.} and Nikolenko, {Sergey I.} and Khachay, {Mikhail Yu.}",
booktitle = "Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Revised Selected Papers",
address = "Germany",
}
RIS
TY - GEN
T1 - User profiling in text-based recommender systems based on distributed word representations
AU - Alekseev, Anton
AU - Nikolenko, Sergey
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - We introduce a novel approach to constructing user profiles for recommender systems based on full-text items such as posts in a social network and implicit ratings (in the form of likes) that users give them. The profiles measure a user’s interest in various topics mined from the full texts of the items. As a result, we get a user profile that can be used for cold start recommendations for items, targeted advertisement, and other purposes. Our experiments show that the method performs on a level comparable with classical collaborative filtering algorithms while at the same time being a cold start approach, i.e., it does not use the likes of an item being recommended.
AB - We introduce a novel approach to constructing user profiles for recommender systems based on full-text items such as posts in a social network and implicit ratings (in the form of likes) that users give them. The profiles measure a user’s interest in various topics mined from the full texts of the items. As a result, we get a user profile that can be used for cold start recommendations for items, targeted advertisement, and other purposes. Our experiments show that the method performs on a level comparable with classical collaborative filtering algorithms while at the same time being a cold start approach, i.e., it does not use the likes of an item being recommended.
KW - Distributed word representations
KW - Recommender systems
KW - User profiling
KW - recommender system
KW - user profiling
KW - natural language processing
KW - machine learning
KW - vector semantics
UR - http://www.scopus.com/inward/record.url?scp=85014188521&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-52920-2_19
DO - 10.1007/978-3-319-52920-2_19
M3 - Conference contribution
AN - SCOPUS:85014188521
SN - 9783319529196
T3 - Communications in Computer and Information Science
SP - 196
EP - 207
BT - Analysis of Images, Social Networks and Texts - 5th International Conference, AIST 2016, Revised Selected Papers
A2 - Loukachevitch, Natalia
A2 - Panchenko, Alexander
A2 - Vorontsov, Konstantin
A2 - Labunets, Valeri G.
A2 - Savchenko, Andrey V.
A2 - Ignatov, Dmitry I.
A2 - Nikolenko, Sergey I.
A2 - Khachay, Mikhail Yu.
PB - Springer Nature
T2 - 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016
Y2 - 7 April 2016 through 9 April 2016
ER -
