A T1OWA and aspect-based model for customizing recommendations on eCommerce

Serrano-Guerrero, Jesús; Olivas, José Á.; Romero, Francisco P.

doi:10.1016/j.asoc.2020.106768

Cited by 23 publications

(7 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…China's government and market institutions have successively carried out research in this area [11]. Many domestic scholars have gradually studied e-commerce measurement [12], summarized the advantages and disadvantages of each measurement method, and provided theoretical and theoretical reference for China's e-commerce measurement [13]. Based on Alibaba's county-level digital industry progress index, the spatial distribution characteristics of county-level digital industry development was expounded by using ESDA and standard elliptic analysis method, and the significant influence of retail industry on ecommerce was pointed out by using multiple linear regression method.…”

Section: Introductionmentioning

confidence: 99%

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

Wang¹

2022

Advances in Multimedia

View full text Add to dashboard Cite

As a new form of e-commerce, digital industry will become a tool to enhance regional competitiveness and win the allocation of resources, and its advanced degree is the standard to measure economic strength. In the process of development, countries and regions need to master their development status, so a set of digital industry evaluation index system is necessary to help various fields monitor the development status of e-commerce industry, aiming at providing more targeted services. Therefore, the establishment of regional digital industry progress index is conducive to evaluating and improving the development level of e-commerce. Because of the unbalanced development among different regions and the diversity and fuzziness of evaluation indexes, how to evaluate the development degree of cross-border electronic commerce in a region has become the main problem at present. In this paper, the evaluation index of regional promotion degree in cross-border electronic commerce is constructed, and on this basis, the intuitionistic fuzzy multiattribute group decision-making method based on induction is used to evaluate the promotion degree of regional cross-border electronic commerce. By analyzing the actual situation of cross-border Internet e-commerce comprehensive evaluation cases in various regions of Zhejiang Province, it is proved that this method is really effective. In view of this, this paper constructs an integrated multiangle monitoring index system of regional digital industry progress index, puts forward a subjective and objective method based on the principle of the minimum distance between the evaluated object and the ideal point, and combines the regional digital industry progress index with the comprehensive index method. The measurement model is used to measure the progress of digital industry in this region from June 2019 to June 2020, as an empirical object. The empirical results will show that this road is easy, and at the same time, we can fully grasp the progress of digital technology in a region.

show abstract

Section: Introductionmentioning

confidence: 99%

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

Wang¹

2022

Advances in Multimedia

View full text Add to dashboard Cite

show abstract

“…El tamaño de la empresa es uno de los factores más influyentes en la adopción de internet y por lo tanto de la decisión de participar en el CE (Galhotra & Dewan, 2020); no solo interviene en la capacidad y disposición de una compañía para adoptar las ventas por internet, sino que también en la medida en que adoptará la tecnología (Serrano-Guerrero et al, 2020). Es más probable que una empresa con una gran cantidad de operaciones y datos adopte el CE, ya que puede ser de ayuda para optimizar las operaciones y ofrecer eficiencia en los procesos dentro de la empresa (Khaleel, 2020).…”

Section: Tamaño De La Empresaunclassified

MSMEs and e-commerce in Mexico

Martínez

Gòmez²

2023

View full text Add to dashboard Cite

The objective of this article was to analyze the factors that influence micro, small and medium-sized Mexican companies in the adoption of e-commerce. Data from the 2019 Economic Census, conducted by the National Institute of Statistics and Geography, were used. The sample included 135 775 companies that reported online revenues in 2019. For the analysis of the information, Tornatzky and Fleischer's technology, organization and environment framework was taken as a basis, and a multiple linear regression model by firm size was created. The results reveal that firm size, cash sales, having a website and intranet access have a negative relationship for e-commerce adoption, while access to and use of e-mail, computers and the Internet have a positive relationship. This is because technological integration becomes less important as the company grows, going from being a facilitator to an inhibitor of the acceptance of online sales. This paper demonstrates that technological, organizational and environmental characteristics have significant effects on the adoption of e-commerce by MSMEs in Mexico; the findings may be of help to owners and managers, as well as to policy makers in Mexico responsible for expanding the number of firms adopting e-commerce.

show abstract

“…[35] combines the aspect-level popularity of items with the importance of an aspect to a user to make recommendations, but does not use the user sentiments. The study in [36] determines whether a user is influenced more by positive or negative opinions, then combines the influence score with the item-level aspect importance to rank items. Authors in [7] consider aspect emphasis and item-aspect availability but do not make use of aspect-sentiments.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual and Computational Framework for Aspect-Based Collaborative Filtering Recommender Systems

Poudel¹,

Bikdash²

2023

JCC

View full text Add to dashboard Cite

Many datasets in E-commerce have rich information about items and users who purchase or rate them. This information can enable advanced machine learning algorithms to extract and assign user sentiments to various aspects of the items thus leading to more sophisticated and justifiable recommendations. However, most Collaborative Filtering (CF) techniques rely mainly on the overall preferences of users toward items only. And there is lack of conceptual and computational framework that enables an understandable aspect-based AI approach to recommending items to users. In this paper, we propose concepts and computational tools that can sharpen the logic of recommendations and that rely on users' sentiments along various aspects of items. These concepts include: The sentiment of a user towards a specific aspect of a specific item, the emphasis that a given user places on a specific aspect in general, the popularity and controversy of an aspect among groups of users, clusters of users emphasizing a given aspect, clusters of items that are popular among a group of users and so forth. The framework introduced in this study is developed in terms of user emphasis, aspect popularity, aspect controversy, and users and items similarity. Towards this end, we introduce the Aspect-Based Collaborative Filtering Toolbox (ABCFT), where the tools are all developed based on the three-index sentiment tensor with the indices being the user, item, and aspect. The toolbox computes solutions to the questions alluded to above. We illustrate the methodology using a hotel review dataset having around 6000 users, 400 hotels and 6 aspects.

show abstract

A T1OWA and aspect-based model for customizing recommendations on eCommerce

Cited by 23 publications

References 40 publications

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

Application of a Fuzzy Information Analysis and Evaluation Method in the Development of Regional Rural e-Commerce

MSMEs and e-commerce in Mexico

A Conceptual and Computational Framework for Aspect-Based Collaborative Filtering Recommender Systems

Contact Info

Product

Resources

About