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Related papers: Do Price Ranges Increase Click-throughs?

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Click models are an important tool for leveraging user feedback, and are used by commercial search engines for surfacing relevant search results. However, existing click models are lacking in two aspects. First, they do not share…

Information Retrieval · Computer Science 2014-01-03 Dinesh Govindaraj , Tao Wang , S. V. N. Vishwanathan

Many online marketplaces personalize prices based on consumer attributes. Since these prices are private, consumers may be unaware that they have spent more on a good than the lowest possible price, and cannot easily take action to pay…

Computer Science and Game Theory · Computer Science 2025-05-01 Aditya Karan , Naina Balepur , Hari Sundaram

When designing product rankings, online retailers and platforms choose which outcome to maximize: revenues from commissions or markups, the number of transactions, or consumer welfare. These objectives need not align, creating potential…

General Economics · Economics 2026-03-26 Rafael P. Greminger

When customers are faced with the task of making a purchase in an unfamiliar product domain, it might be useful to provide them with an overview of the product set to help them understand what they can expect. In this paper we present and…

Computation and Language · Computer Science 2018-07-18 Kittipitch Kuptavanich

Consumers only discover at the first seller which product best fits their needs, then check its price online, then decide on buying. Switching sellers is costly. Equilibrium prices fall in the switching cost, eventually to the monopoly…

Theoretical Economics · Economics 2021-04-20 Sander Heinsalu

Ranking systems form the basis for online search engines and recommendation services. They process large collections of items, for instance web pages or e-commerce products, and present the user with a small ordered selection. The goal of a…

Information Retrieval · Computer Science 2020-12-14 Harrie Oosterhuis

Online platforms often have conflicting goals: they face tradeoffs between increasing efficiency and reducing disparities, where the latter may relate to objectives such as the longer-term health of the marketplace or the organization's…

General Economics · Economics 2025-03-05 Susan Athey , Dean Karlan , Emil Palikot , Yuan Yuan

Existing group recommender systems utilize attention mechanisms to identify critical users who influence group decisions the most. We analyzed user attention scores from a widely-used group recommendation model on a real-world E-commerce…

Information Retrieval · Computer Science 2024-10-04 Yang Shi , Young-joo Chung

This paper explains four things in a unified way. First, how e-commerce can generate price equilibria where physical shops either compete with virtual shops for consumers with Internet access, or alternatively, sell only to consumers with…

Human-Computer Interaction · Computer Science 2007-05-23 Pedro Pereira , Cristina Mazón

Groupon has become the latest Internet sensation, providing daily deals to customers in the form of discount offers for restaurants, ticketed events, appliances, services, and other items. We undertake a study of the economics of daily…

Social and Information Networks · Computer Science 2015-03-19 John W. Byers , Michael Mitzenmacher , Michalis Potamias , Georgios Zervas

Contextual pricing strategies are prevalent in online retailing, where the seller adjusts prices based on products' attributes and buyers' characteristics. Although such strategies can enhance seller's profits, they raise concerns about…

Computer Science and Game Theory · Computer Science 2026-03-17 Pangpang Liu , Will Wei Sun

Ad exchanges, i.e., platforms where real-time auctions for ad impressions take place, have developed sophisticated technology and data ecosystems to allow advertisers to target users, yet advertisers may not know which sites their ads…

General Economics · Economics 2020-12-03 Sıla Ada , Nadia Abou Nabout , Elea McDonnell Feit

We address the challenging problem of dynamically pricing complementary items that are sequentially displayed to customers. An illustrative example is the online sale of flight tickets, where customers navigate through multiple web pages.…

Websites have an inherent interest in steering user navigation in order to, for example, increase sales of specific products or categories, or to guide users towards specific information. In general, website administrators can use the…

Social and Information Networks · Computer Science 2016-03-22 Florian Geigl , Kristina Lerman , Simon Walk , Markus Strohmaier , Denis Helic

Price differentiation describes a marketing strategy to determine the price of goods on the basis of a potential customer's attributes like location, financial status, possessions, or behavior. Several cases of online price differentiation…

Cryptography and Security · Computer Science 2017-12-11 Thomas Hupperich , Dennis Tatang , Nicolai Wilkop , Thorsten Holz

Matching and recommending products is beneficial for both customers and companies. With the rapid increase in home goods e-commerce, there is an increasing demand for quantitative methods for providing such recommendations for millions of…

Computer Vision and Pattern Recognition · Computer Science 2021-05-27 Mathew Schwartz , Tomer Weiss , Esra Ataer-Cansizoglu , Jae-Woo Choi

We empirically investigate fluctuations in product prices in online markets by using a tick-by-tick price data collected from a Japanese price comparison site, and find some similarities and differences between product and asset prices. The…

Physics and Society · Physics 2015-05-13 Takayuki Mizuno , Tsutomu Watanabe

In e-commerce shopping, aligning search results with a buyer's immediate needs and preferences presents a significant challenge, particularly in adapting search results throughout the buyer's shopping journey as they move from the initial…

Information Retrieval · Computer Science 2025-12-16 Taoran Sheng , Sathappan Muthiah , Atiq Islam , Jinming Feng

E-commerce businesses employ recommender models to assist in identifying a personalized set of products for each visitor. To accurately assess the recommendations' influence on customer clicks and buys, three target areas -- customer…

Computers and Society · Computer Science 2019-11-05 Namrata Chaudhary , Drimik Roy Chowdhury

We study four promotions offered on Apple's mobile app store that vary in user exposure, price discount and redemption procedure. We find that promotions that are full-price discounted and digital (i.e., the redemption procedure is a few…

Computers and Society · Computer Science 2016-04-01 Georgios Askalidis