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Related papers: A Large-Scale Study of Online Shopping Behavior

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For many companies, competitiveness in e-commerce requires a successful presence on the web. Web sites are used to establish the company's image, to promote and sell goods and to provide customer support. The success of a web site affects…

Machine Learning · Computer Science 2007-05-23 Myra Spiliopoulou , Carsten Pohle

E-commerce web applications are almost ubiquitous in our day to day life, however as useful as they are, most of them have little to no adaptation to user needs, which in turn can cause both lower conversion rates as well as unsatisfied…

Information Retrieval · Computer Science 2019-05-30 Mihai Cristian Pîrvu , Alexandra Anghel

The rapid development of technology has drastically changed the way consumers do their shopping. The volume of global online commerce has significantly been increasing partly due to the recent COVID-19 crisis that has accelerated the…

General Economics · Economics 2023-01-04 Szabolcs Nagy , Noemi Hajdu

Customer reviews represent a very rich data source from which we can extract very valuable information about different online shopping experiences. The amount of the collected data may be very large especially for trendy items (products,…

Computation and Language · Computer Science 2021-04-06 Abdessamad Benlahbib

Data generated by users on digital platforms are a crucial resource for advocates and researchers interested in uncovering digital inequities, auditing algorithms, and understanding human behavior. Yet data access is often restricted. How…

Computers and Society · Computer Science 2024-08-09 Alex Berke , Robert Mahari , Sandy Pentland , Kent Larson , Dana Calacci

Over the past years, e-commerce platforms have expanded substantially, providing customers with convenient shopping experiences. To enhance e-commerce websites, it's essential to grasp user engagement and factors affecting conversion rates.…

Social and Information Networks · Computer Science 2024-03-26 Amrutha Muralidhar , Yathindra Lakkanna

We conduct a field experiment on a movie-recommendation platform to investigate whether and how online recommendations influence consumption choices. Using a within-subjects design, our experiment measures the causal effect of…

General Economics · Economics 2024-12-13 Guy Aridor , Duarte Goncalves , Daniel Kluver , Ruoyan Kong , Joseph Konstan

Different from shopping at retail stores, consumers on e-commerce platforms usually cannot touch or try products before purchasing, which means that they have to make decisions when they are uncertain about the outcome (e.g., satisfaction…

Information Retrieval · Computer Science 2020-08-20 Zhichao Xu , Yi Han , Yongfeng Zhang , Qingyao Ai

Understanding how people interact with the web is key for a variety of applications, e.g., from the design of effective web pages to the definition of successful online marketing campaigns. Browsing behavior has been traditionally…

Computers and Society · Computer Science 2021-05-05 Luca Vassio , Idilio Drago , Marco Mellia , Zied Ben Houidi , Mohamed Lamine Lamali

Political polarization appears to be on the rise, as measured by voting behavior, general affect towards opposing partisans and their parties, and contents posted and consumed online. Research over the years has focused on the role of the…

Social and Information Networks · Computer Science 2021-04-15 Kiran Garimella , Tim Smith , Rebecca Weiss , Robert West

Existing constructs for privacy concerns and behaviors do not adequately model deviations between user attitudes and behaviors. Although a number of studies have examined supposed deviations from rationality by online users, true…

Social and Information Networks · Computer Science 2011-03-17 Andrew W. Boyd

Ever since the web began, the number of websites has been growing exponentially. These websites cover an ever-increasing range of online services that fill a variety of social and economic functions across a growing range of industries. Yet…

Computers and Society · Computer Science 2021-10-29 Paul X. McCarthy , Xian Gong , Sina Eghbal , Daniel S. Falster , Marian-Andrei Rizoiu

Traditional approaches to ranking in web search follow the paradigm of rank-by-score: a learned function gives each query-URL combination an absolute score and URLs are ranked according to this score. This paradigm ensures that if the score…

Machine Learning · Computer Science 2012-07-03 Or Sheffet , Nina Mishra , Samuel Ieong

The use of the internet, and in particular web browsing, offers many potential advantages for educational institutions as students have access to a wide range of information previously not available. However, there are potential negative…

Social and Information Networks · Computer Science 2011-10-31 Scott Hazelhurst , Yestin Johnson , Ian Sanders

Digital technology organizations routinely use online experiments (e.g. A/B tests) to guide their product and business decisions. In e-commerce, we often measure changes to transaction- or item-based business metrics such as Average Basket…

Applications · Statistics 2023-04-18 C. H. Bryan Liu , Emma J. McCoy

Social media, regarded as two-layer networks consisting of users and items, turn out to be the most important channels for access to massive information in the era of Web 2.0. The dynamics of human activity and item popularity is a crucial…

Physics and Society · Physics 2014-03-03 Peng Zhang , Menghui Li , Liang Gao , Ying Fan , Zengru Di

Online privacy has gradually become a concern for internet users over the years as a result of the interconnection of customers devices with other devices supporting the internet technology. This research investigates and discusses the…

Computers and Society · Computer Science 2018-01-04 E. T. Tchao , Kwasi Diawuo , Christiana Selorm Aggor , Seth Djane Kotey

Matching, capturing allocation of items to unit-demand buyers, or tasks to workers, or pairs of collaborators, is a central problem in economics. Indeed, the growing prevalence of matching-based markets, many of which online in nature, has…

Data Structures and Algorithms · Computer Science 2024-07-09 Zhiyi Huang , Zhihao Gavin Tang , David Wajc

In many contexts it is useful to predict the number of individuals in some population who will initiate a particular activity during a given period. For example, the number of users who will install a software update, the number of…

Machine Learning · Statistics 2025-04-15 Thomas Richardson , Yu Liu , James McQueen , Doug Hains

Understanding consumer emotional experiences on e-commerce platforms is essential for businesses striving to enhance customer engagement and personalisation. Recent research has demonstrated that these experiences are more intricate and…

General Economics · Economics 2025-05-07 Vinh Truong
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