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Consumers value keeping some information about them private from potential marketers. E-commerce dramatically increases the potential for marketers to accumulate otherwise private information about potential customers. Online marketers…

Computers and Society · Computer Science 2007-05-23 Michael R. Ward , Yu-Ching Chen

Recent researches have seen an upsurge in the analysis of consumer reviews. Although, several dimensions have been explored, less is known on the temporal dynamics of events that happen over the lifecycle of online products. What are the…

Social and Information Networks · Computer Science 2017-04-12 Santosh K C , Arjun Mukherjee

This paper proposes a method for estimating consumer preferences among discrete choices, where the consumer chooses at most one product in a category, but selects from multiple categories in parallel. The consumer's utility is additive in…

Machine Learning · Computer Science 2023-08-08 Rob Donnelly , Francisco R. Ruiz , David Blei , Susan Athey

Our paper contributes to the literature recommending approaches to make online reviews more credible and representative. We analyze data from four diverse major online retailers and find that verified customers who are prompted (by an…

Human-Computer Interaction · Computer Science 2016-04-05 Georgios Askalidis , Edward C. Malthouse

Ranking systems have an unprecedented influence on how and what information people access, and their impact on our society is being analyzed from different perspectives, such as users' discrimination. A notable example is represented by…

Information Retrieval · Computer Science 2022-08-24 Guilherme Ramos , Ludovico Boratto , Mirko Marras

Social influence is ubiquitous in cultural markets, from book recommendations in Amazon, to song popularities in iTunes and the ranking of newspaper articles in the online edition of the New York Times to mention only a few. Yet social…

Social and Information Networks · Computer Science 2015-05-26 Pascal Van Hentenryck , Andres Abeliuk , Franco Berbeglia , Gerardo Berbeglia

In continuous-choice settings, consumers decide not only on whether to purchase a product, but also on how much to purchase. Thus, firms optimize a full price schedule rather than a single price point. This paper provides a methodology to…

General Economics · Economics 2024-08-13 Soheil Ghili , Russ Yoon

We propose a continuum model for the description of buyer and seller dynamics in an Internet market. The relevant variables are the research effort of buyers and the sellers' reputation building process. We show that, if a commercial…

Physics and Society · Physics 2009-11-07 Paolo Laureti , Frantisek Slanina , Yi-Kuo Yu , Yi-Cheng Zhang

With the considerable development of customer-to-customer (C2C) e-commerce in the recent years, there is a big demand for an effective recommendation system that suggests suitable websites for users to sell their items with some specified…

Information Retrieval · Computer Science 2018-06-27 Khanh Dang , Khuong Vo , Josef Küng

Considering the impact of recommendations on item providers is one of the duties of multi-sided recommender systems. Item providers are key stakeholders in online platforms, and their earnings and plans are influenced by the exposure their…

Information Retrieval · Computer Science 2021-06-29 Ludovico Boratto , Gianni Fenu , Mirko Marras

We study the problems of pricing an indivisible product to consumers who are embedded in a given social network. The goal is to maximize the revenue of the seller. We assume impatient consumers who buy the product as soon as the seller…

Computer Science and Game Theory · Computer Science 2015-02-10 Zhigang Cao , Xujin Chen , Xiaodong Hu , Changjun Wang

Recent literature on ranking systems (RS) has considered users' exposure when they are the object of the ranking. Although items are the object of reputation-based RS, users have a central role also in this class of algorithms. Indeed, when…

Information Retrieval · Computer Science 2021-04-13 Guilherme Ramos , Ludovico Boratto

Increasing users' positive interactions, such as purchases or clicks, is an important objective of recommender systems. Recommenders typically aim to select items that users will interact with. If the recommended items are purchased, an…

Machine Learning · Computer Science 2020-09-24 Masahiro Sato , Sho Takemori , Janmajay Singh , Tomoko Ohkuma

The cognitive research on reputation has shown several interesting properties that can improve both the quality of services and the security in distributed electronic environments. In this paper, the impact of reputation on decision-making…

Artificial Intelligence · Computer Science 2011-06-28 Walter Quattrociocchi , Rosaria Conte

Personalized recommendation systems shape much of user choice online, yet their targeted nature makes separating out the value of recommendation and the underlying goods challenging. We build a discrete choice model that embeds…

General Economics · Economics 2026-03-30 Kevin Zielnicki , Guy Aridor , Aurélien Bibaut , Allen Tran , Winston Chou , Nathan Kallus

Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information. User profiles play an important role in the success of recommendation…

Information Retrieval · Computer Science 2011-09-02 Bahram Amini , Roliana Ibrahim , Mohd Shahizan Othman

A multiproduct seller is more informed than consumers about the value of her products to consumers. The seller posts a price list and segments the market through cheap-talk communication. We find that when both seller's and consumers'…

Theoretical Economics · Economics 2025-03-28 Xiaoxiao Hu , Haoran Lei

Users on the internet usually require venues to provide better purchasing recommendations. This can be provided by a reputation system that processes ratings to provide recommendations. The rating aggregation process is a main part of…

Machine Learning · Computer Science 2022-09-13 Ahmad Alqwadri , Mohammad Azzeh , Fadi Almasalha

This paper investigates whether spatial proximity shapes psychological-pricing choices on Austria's C2C marketplace willhaben. Two web-scraped snapshots of 826 Woom Bike listings - a standardised product sold on the platform reveal that…

Econometrics · Economics 2026-01-21 Magdalena Schindl , Felix Reichel

Market share and quality, or customer satisfaction, go together. Yet inferring one from the other appears difficult. Indeed, such an inference would need detailed information about customer behavior, and might be clouded by modes of…

Computer Science and Game Theory · Computer Science 2014-07-15 Amir Ban , Nati Linial
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