NDLI: A Hybrid Aspect Based Latent Factor Model for Recommendation

Content Provider	IET Digital Library
Author	Yuan, Hanning Chen, Zhengyu Yang, Jingting Wang, Shuliang Geng, Jing Ke, Chuwen
Abstract	Recommender system has been recognized as a superior way for solving personal information overload problem. More and more aspect-based models are leveraging user ratings and extracting information from review texts to support recommendation. Aspect-based latent factor model predicts user ratings relying on latent aspect inferred from user reviews. It usually constructs only a single global model for all users, which may be not sufficient to capture the diversity of users' preferences and leave some items or users be badly modeled. We propose a Hybrid aspect-based latent factor model (HALFM), which jointly optimizes the Global aspect-based latent factor model (GALFM) and the Local Aspect-based Latent Factor Models (LALFM), their user-specific combination, and the assignment of users to the LALFMs. HALFM makes prediction by combining user-specific of GALFM and many LALFMs. Experimental results demonstrate that the proposed HALFM outperforms most of aspectbased recommendation techniques in rating prediction.
Starting Page	482
Ending Page	490
Page Count	9
ISSN	10224653
Volume Number	29
e-ISSN	20755597
Issue Number	Issue 3, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/29/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2020.01.004
Journal	Chinese Journal of Electronics
Publisher Date	2020-05-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Aspect-based Model Aspect-based Recommendation Technique Global Aspect-based Latent Factor Model HALFM Hybrid Aspect-based Latent Factor Model Information Network Information Retrieval Technique Local Aspect-based Latent Factor Model Personal Information Overload Problem Rating Prediction Recommender System Review Texts User Ratings User Reviews User-specific Combination
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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