Search Results - subject:"Recommender System"

The Daily Me versus The Daily Others : Can Social Recommender Systems Diversify User Interests?

Liu, Jia; CONG, Ziwei - 2021

recommender system (i.e., a system specifically targeting the social media domain) from content-based filtering (recommending …

Persistent link: https://www.econbiz.de/10013243557

The Soap Box as a Black Box : Regulating Transparency in Social Media Recommender Systems

Leerssen, Paddy - 2021

Social media recommender systems play a central role in determining what content is seen online, and what remains hidden. As a point of control for media governance, they are subject to intense controversy and, increasingly, regulation by European policymakers. A recurring theme in such efforts...

Persistent link: https://www.econbiz.de/10013244682

Method for Detecting Shilling Attacks Based on Implicit Feedback in Recommender Systems

Chala, Oksana; Novikova, Lyudmyla; Chernyshova, Larysa; … - 2021

can lead to distrust of the recommender system and a drop in sales. The existing methods for detecting shilling attacks …The problem of identifying shilling attacks, which are aimed at forming false ratings of objects in the recommender … system, is considered. The purpose of such attacks is to include in the recommended list of items the goods specified by the …

Persistent link: https://www.econbiz.de/10013245154

Your Preference or Mine? A Randomized Field Experiment on Recommender Systems in Two-sided Matching Markets

Shi, Lanfei; Viswanathan, Siva; Zhang, Kunpeng - 2021

Research on recommender systems mainly focuses on product recommendations where the recommendations are primarily based on buyers’ preferences. However, user recommendation in two-sided matching markets where potential matches’ preferences may also play a role in the focal user’s...

Persistent link: https://www.econbiz.de/10013231121

Recommenders' Originals : The Welfare Effects of the Dual Role of Platforms as Producers and Recommender Systems

Aridor, Guy; Gonçalves, Duarte - 2021

We study a model of strategic interaction between producers and a monopolist platform that employs a recommendation system. We characterize the consumer welfare implications of the platform’s entry into the production market. Upon entry, the platform biases recommendations to steer consumers...

Persistent link: https://www.econbiz.de/10013211824

How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages?

Lee, Dokyun; Hosanagar, Kartik - 2021

conditional on views), final conversion} of a purchase-based collaborative filtering recommender system on an e-commerce site. We …

Persistent link: https://www.econbiz.de/10013240267

What are the determinants of consumers' online reviews adoption for hotel bookings : a structural equation modelling approach

Lata, Suman; Rana, Krishma - In: Enlightening tourism : ET ; a pathmaking journal 11 (2021) 1, pp. 171-193

Persistent link: https://www.econbiz.de/10012583842

Towards effective discovery of natural communities in complex networks and implications in e-commerce

Chattopadhyay, Swarup; Basu, Tanmay; Das, Asit K.; … - In: Electronic commerce research 21 (2021) 4, pp. 917-954

Persistent link: https://www.econbiz.de/10012698534

Building an internet-based knowledge ontology for trademark protection

Trappey, Charles V.; Chang, Ai-Che; Trappey, Amy J. C. - In: Journal of global information management 29 (2021) 1, pp. 123-144

Persistent link: https://www.econbiz.de/10012508120

The promise of financial services regulatory theory to address disinformation in content recommender systems

Bennett, Owen - In: Internet policy review : journal on internet regulation 10 (2021) 2, pp. 1-26

This article argues that the European regulatory approach to disinformation online is stymied by inappropriate regulatory theories. On that basis, this article seeks to advance an alternative theoretical approach, inspired by the contemporary European paradigm of financial services regulation....

Persistent link: https://www.econbiz.de/10012591052