English
Related papers

Related papers: Analyzing 'Near Me' Services: Potential for Exposu…

200 papers

Exploration is essential to improve long-term recommendation quality, but it often degrades short-term business performance, especially in remote-first TV environments where users engage passively, expect instant relevance, and offer few…

Information Retrieval · Computer Science 2025-12-18 Qiang Chen , Venkatesh Ganapati Hegde

Ranking is a fundamental operation in information access systems, to filter information and direct user attention towards items deemed most relevant to them. Due to position bias, items of similar relevance may receive significantly…

Computers and Society · Computer Science 2021-11-01 Giorgio Maria Di Nunzio , Alessandro Fabris , Gianmaria Silvello , Gian Antonio Susto

Recommendation plays a key role in e-commerce and in the entertainment industry. We propose to consider successive recommendations to users under the form of graphs of recommendations. We give models for this representation. Motivated by…

Social and Information Networks · Computer Science 2017-05-01 Erwan Le Merrer , Gilles Trédan

Ranking plays a central role in connecting users and providers in Information Retrieval (IR) systems, making provider-side fairness an important challenge. While recent research has begun to address fairness in ranking, most existing…

Information Retrieval · Computer Science 2026-02-03 Yiteng Tu , Weihang Su , Shuguang Han , Yiqun Liu , Qingyao Ai

Social Networking accounts for a significant chunk of interest among various online activities~\cite{smith2009social}. The proclivity of being social, online, has been ingrained in us so much that we are actively producing content for the…

Social and Information Networks · Computer Science 2017-02-27 Shubhanshu Gupta , Vaibhavi Desai , Harsh Thakkar

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

Point-of-Interest (POI) recommender systems provide personalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies suggest that highly data-driven recommendations could be…

Information Retrieval · Computer Science 2022-04-11 Hossein A. Rahmani , Yashar Deldjoo , Ali Tourani , Mohammadmehdi Naghiaei

We present a model of competition between web search algorithms, and study the impact of such competition on user welfare. In our model, search providers compete for customers by strategically selecting which search results to display in…

Computer Science and Game Theory · Computer Science 2013-10-16 David Kempe , Brendan Lucier

Recommendation systems are pervasive in the digital economy. An important assumption in many deployed systems is that user consumption reflects user preferences in a static sense: users consume the content they like with no other…

Computers and Society · Computer Science 2023-02-14 Andreas Haupt , Dylan Hadfield-Menell , Chara Podimata

Housing scholars stress the importance of the information environment in shaping housing search behavior and outcomes. Rental listings have increasingly moved online over the past two decades and, in turn, online platforms like Craigslist…

Applications · Statistics 2020-02-03 Geoff Boeing , Max Besbris , Ariela Schachter , John Kuk

We study platforms in the sharing economy and discuss the need for incentivizing users to explore options that otherwise would not be chosen. For instance, rental platforms such as Airbnb typically rely on customer reviews to provide users…

Machine Learning · Computer Science 2017-11-27 Christoph Hirnschall , Adish Singla , Sebastian Tschiatschek , Andreas Krause

Spatial item recommendation has become an important means to help people discover interesting locations, especially when people pay a visit to unfamiliar regions. Some current researches are focusing on modelling individual and collective…

Social and Information Networks · Computer Science 2017-06-21 Hao Wang , Yanmei Fu , Qinyong Wang , Hongzhi Yin , Changying Du , Hui Xiong

Through exposing items to users, implicit feedback recommender systems influence the logged interactions, and, ultimately, their own recommendations. This effect is called exposure bias and it can lead to issues such as filter bubbles and…

Information Retrieval · Computer Science 2024-09-23 Thorsten Krause , Alina Deriyeva , Jan Heinrich Beinke , Gerrit York Bartels , Oliver Thomas

Generative search engines are reshaping information access by replacing traditional ranked lists with synthesized answers and references. In parallel, with the growth of Web3 platforms, incentive-driven creator ecosystems have become an…

Information Retrieval · Computer Science 2026-01-06 Shayan Alipour , Mehdi Kargar , Morteza Zihayat

In this paper, we study the problem of allocating ads to users through the viral-marketing lens. Advertisers approach the host with a budget in return for the marketing campaign service provided by the host. We show that allocation that…

Social and Information Networks · Computer Science 2015-08-26 Cigdem Aslay , Wei Lu , Francesco Bonchi , Amit Goyal , Laks V. S. Lakshmanan

This paper identifies the factors that have an impact on mobile recommender systems. Recommender systems have become a technology that has been widely used by various online applications in situations where there is an information overload…

Information Retrieval · Computer Science 2018-05-08 Elias Pimenidis , Nikolaos Polatidis , Haralambos Mouratidis

In recent years we have witnessed a shift towards personalized, context-based applications and services for mobile device users. A key component of many of these services is the ability to infer the current location and predict the future…

Cryptography and Security · Computer Science 2018-12-13 Nir Sivan , Ron Bitton , Asaf Shabtai

The widespread adoption of continuously connected smartphones and tablets developed the usage of mobile applications, among which many use location to provide geolocated services. These services provide new prospects for users: getting…

Cryptography and Security · Computer Science 2018-10-09 Primault Vincent , Boutet Antoine , Ben Mokhtar Sonia , Brunie Lionel

Airbnb, an online marketplace for accommodations, has experienced a staggering growth accompanied by intense debates and scattered regulations around the world. Current discourses, however, are largely focused on opinions rather than…

Computers and Society · Computer Science 2017-05-15 Qing Ke

Nowadays, people start to use online reservation systems to plan their vacations since they have vast amount of choices available. Selecting when and where to go from this large-scale options is getting harder. In addition, sometimes…

Machine Learning · Computer Science 2020-09-30 Bekir Berker Türker , Resul Tugay , Şule Öğüdücü , İpek Kızıl
‹ Prev 1 4 5 6 7 8 10 Next ›