The Short-term User Modeling for Predictive Applications-Reference-Cited by-同舟云学术

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The Short-term User Modeling for Predictive Applications

Published:2018-10-06 Issue:1 Volume:8 Page:21-37
ISSN:1861-2032
Container-title:Journal on Data Semantics
language:en
Short-container-title:J Data Semant

Author:

Kompan Michal^ORCID,Kassak Ondrej,Bielikova Maria

Funder

Agentúra na Podporu Výskumu a Vývoja

Vedecká Grantová Agentúra MŠVVaŠ SR a SAV

European Regional Development Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s13740-018-0095-1.pdf

Reference54 articles.

1. Cisco. Cisco visual networking index: forecast and methodology, 2016–2021 , Cisco VNI Forecast, p 17, (2017)

2. Kompan M, Bielikova M (2013) Context-based satisfaction modelling for personalized recommendations. In: 8th international workshop on semantic and social media adaptation and personalization (SMAP ’13), IEEE, pp 33–38

3. Billsus D, Pazzani MJ (2007) Adaptive news access. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web (4321). Springer, Berlin, pp 550–570

4. Wang W, Zhao D, Luo H, Wang X (2013) Mining user interests in web logs of an online news service based on memory model. In: IEEE 8th international conference on networking, architecture and storage, pp 151–155

5. Xiang L, Yuan Q, Zhao S, Chen L, Zhang X, Yang Q, Sun J (2010) Temporal recommendation on graphs via long- and short-term preference fusion. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining ’10, pp 723–731

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1. Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating;Information & Management;2023-04

2. YesElf;Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization;2019-06-06

3. Big Data Service Request Prediction Based on Historical Behavior Time Series;Proceedings of the 2nd International Conference on Big Data Technologies - ICBDT2019;2019

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