Improving Predictions with an Ensemble of Linguistic Approach and Matrix Factorization

被引：0

作者：

Angioni, Manuela ^{[1
]}

Clemente, Maria Laura ^{[1
]}

Tuveri, Franco ^{[1
]}

机构：

[1] Ctr Adv Studies Res & Dev Sardinia, CRS4, Parco Sci & Tecnol,Ed 1, I-09010 Pulam, CA, Italy

来源：

WEB INFORMATION SYSTEMS AND TECHNOLOGIES, WEBIST 2015 | 2016年 / 246卷

关键词：

Opinion mining; Sentiment analysis; Text categorization; Collaborative filtering; Matrix factorization; Latent factors; Ensemble methods;

D O I：

10.1007/978-3-319-30996-5_9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper extends a previous work done by the same authors [1] having the aim of improving the predictions coming from a matrix factorization based on latent factor models through an ensemble with the predictions obtained by an Opinion Mining methodology based on a linguistic approach. The experimental analysis was carried out on the Yelp business dataset, limited to the Restaurant category. An hypothesis of influence of the restaurant average rating on the number of stars given by the users is tested. An analysis of the meaning of some of the latent factors is shown.

引用

页码：169 / 190

页数：22

共 50 条

[1] IMPROVING MATRIX FACTORIZATION-BASED RECOMMENDER VIA ENSEMBLE METHODS
Luo, Xin
Ouyang, Yuanxin
Xiong, Zhang
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2011, 10 (03) : 539 - 561
[2] Meta Matrix Factorization for Federated Rating Predictions
Lin, Yujie
Ren, Pengjie
Chen, Zhumin
Ren, Zhaochun
Yu, Dongxiao
Ma, Jun
de Rijke, Maarten
Cheng, Xiuzhen
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20), 2020, : 981 - 990
[3] Ensemble propagation and continuous matrix factorization algorithms
Bergemann, Kay
Gottwald, Georg
Reich, Sebastian
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2009, 135 (643) : 1560 - 1572
[4] Improving maximum margin matrix factorization
Markus Weimer
Alexandros Karatzoglou
Alex Smola
Machine Learning, 2008, 72 : 263 - 276
[5] Improving maximum margin matrix factorization
Weimer, Markus
Karatzoglou, Alexandros
Smola, Alex
MACHINE LEARNING, 2008, 72 (03) : 263 - 276
[6] Supermodeling Improving Predictions with an Ensemble of Interacting Models
Schevenhoven, Francine
Keenlyside, Noel
Counillon, Francois
Carrassi, Alberto
Chapman, William E.
Devilliers, Marion
Gupta, Alok
Koseki, Shunya
Selten, Frank
Shen, Mao-Lin
Wang, Shuo
Weiss, Jeffrey B.
Wiegerinck, Wim
Duane, Gregory S.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2023, 104 (09) : E1670 - E1686
[7] Improving microwave brightness temperature predictions based on Bayesian model averaging ensemble approach
Binghao JIA
Zhenghui XIE
Applied Mathematics and Mechanics(English Edition), 2016, 37 (11) : 1501 - 1516
[8] Improving microwave brightness temperature predictions based on Bayesian model averaging ensemble approach
Jia, Binghao
Xie, Zhenghui
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2016, 37 (11) : 1501 - 1516
[9] Improving microwave brightness temperature predictions based on Bayesian model averaging ensemble approach
Binghao Jia
Zhenghui Xie
Applied Mathematics and Mechanics, 2016, 37 : 1501 - 1516
[10] Generating Pseudotransactions for Improving Sparse Matrix Factorization
Wibowo, Agung T.
PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16), 2016, : 439 - 442

← 1 2 3 4 5 →