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In the era of Big Data and Social Computing, the role of customer reviews and ratings can be instrumental in predicting the success and sustainability of businesses. In this paper, we show that, despite the apparent subjectivity of user…

Social and Information Networks · Computer Science 2014-07-08 Peter Hajas , Louis Gutierrez , Mukkai S. Krishnamoorthy

We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average sentiment of these posts. Nearly 2.5 million posts from over 18 thousand users…

Human-Computer Interaction · Computer Science 2011-06-06 Anna Chmiel , Pawel Sobkowicz , Julian Sienkiewicz , Georgios Paltoglou , Kevan Buckley , Mike Thelwall , Janusz A. Holyst

Online marketplaces, search engines, and databases employ aggregated social information to rank their content for users. Two ranking heuristics commonly implemented to order the available options are the average review score and item…

Information Retrieval · Computer Science 2017-06-27 Pantelis P. Analytis , Alexia Delfino , Juliane Kämmer , Mehdi Moussaïd , Thorsten Joachims

With the increasing number of merchandise on e-commerce platforms, users tend to refer to reviews of other shoppers to decide which product they should buy. However, with so many reviews of a product, users often have to spend lots of time…

Computation and Language · Computer Science 2020-11-12 Yiren Liu , Kuan-Ying Lee

User-generated reviews significantly influence consumer decisions, particularly in the travel domain when selecting accommodations. This paper contribution comprising two main elements. Firstly, we present a novel dataset of authentic guest…

Information Retrieval · Computer Science 2024-07-02 Reda Igebaria , Eran Fainman , Sarai Mizrachi , Moran Beladev , Fengjun Wang

Recommender systems have become an integral part of online platforms, providing personalized recommendations for purchases, content consumption, and interpersonal connections. These systems consist of two sides: the producer side comprises…

Methodology · Statistics 2023-11-08 Yan Wang , Shan Ba

Social reviews have dominated the web and become a plausible source of product information. People and businesses use such information for decision-making. Businesses also make use of social information to spread fake information using a…

Machine Learning · Computer Science 2023-01-05 Saeedreza Shehnepoor , Roberto Togneri , Wei Liu , Mohammed Bennamoun

Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or other demographic factors. However, there are growing…

Information Retrieval · Computer Science 2017-05-31 Rishabh Mehrotra , Ashton Anderson , Fernando Diaz , Amit Sharma , Hanna Wallach , Emine Yilmaz

E-commerce dominates a large part of the world's economy with many websites dedicated to online selling products. The vast majority of e-commerce websites provide their customers with the ability to express their opinions about the…

Computation and Language · Computer Science 2020-08-25 Abdalraheem Alsmadi , Shadi AlZu'bi , Mahmoud Al-Ayyoub , Yaser Jararweh

Emotions play an important role in interpersonal interactions and social conflict, yet their function in the development of controversy and disagreement in online conversations has not been explored. To address this gap, we study…

Computation and Language · Computer Science 2022-12-02 Kai Chen , Zihao He , Rong-Ching Chang , Jonathan May , Kristina Lerman

E-commerce is the fastest-growing segment of the economy. Online reviews play a crucial role in helping consumers evaluate and compare products and services. As a result, fake reviews (opinion spam) are becoming more prevalent and…

Machine Learning · Computer Science 2022-05-27 Kiril Danilchenko , Michael Segal , Dan Vilenchik

This paper presents a pipeline to detect and explain anomalous reviews in online platforms. The pipeline is made up of three modules and allows the detection of reviews that do not generate value for users due to either worthless or…

Computation and Language · Computer Science 2024-02-29 David Novoa-Paradela , Oscar Fontenla-Romero , Bertha Guijarro-Berdiñas

Online auctions are fast gaining popularity in today's electronic commerce. Relative to offline auctions, there is a greater degree of multiple bidding and late bidding in online auctions, an empirical finding by some recent research. These…

Statistics Theory · Mathematics 2007-06-13 Sharad Borle , Peter Boatwright , Joseph B. Kadane

The impact of ratings on a restaurant plays a major role in attracting future customers to that restaurant. The word of mouth has been systematically replaced with the online reviews. It gives a sense of satisfaction for people to know…

Computers and Society · Computer Science 2018-05-11 Dhanasekar S , Balaji

In this paper, we present our work towards comparing on-line and off-line evaluation metrics in the context of small e-commerce recommender systems. Recommending on small e-commerce enterprises is rather challenging due to the lower volume…

Information Retrieval · Computer Science 2020-06-11 Ladislav Peska , Peter Vojtas

Online consumer reviews reflect the testimonials of real people, unlike advertisements. As such, they have critical impact on potential consumers, and indirectly on businesses. According to a Harvard study (Luca 2011), +1 rise in…

Social and Information Networks · Computer Science 2016-03-08 Junting Ye , Santhosh Kumar , Leman Akoglu

Online advertisements have become one of today's most widely used tools for enhancing businesses partly because of their compatibility with A/B testing. A/B testing allows sellers to find effective advertisement strategies such as ad…

Machine Learning · Computer Science 2020-10-22 Akira Matsui , Daisuke Moriwaki

In many online platforms, customers' decisions are substantially influenced by product rankings as most customers only examine a few top-ranked products. Concurrently, such platforms also use the same data corresponding to customers'…

Machine Learning · Computer Science 2020-09-14 Negin Golrezaei , Vahideh Manshadi , Jon Schneider , Shreyas Sekar

Review websites, such as TripAdvisor and Yelp, allow users to post online reviews for various businesses, products and services, and have been recently shown to have a significant influence on consumer shopping behaviour. An online review…

Computation and Language · Computer Science 2016-05-19 Nabiha Asghar

Product reviews significantly influence purchasing decisions on e-commerce platforms. However, the sheer volume of reviews can overwhelm users, obscuring the information most relevant to their specific needs. Current e-commerce…

Artificial Intelligence · Computer Science 2026-05-08 Millend Roy , Agostino Capponi , Vineet Goyal