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The effects of recommendations’ presentation on persuasion and satisfaction in a movie recommender system

https://doi.org/10.1007/s00530-010-0190-0
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dir.20048openalex-snapshot
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Persuasive Online-Selling in Quality and Taste Domains
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Text or Pictures? An Eyetracking Study of How People View Digital Video Surrogates
inferredcites →https://doi.org/10.1007/3-540-45747-x_36openalex-snapshot
Alternative Surrogates for Video Objects in a Digital Library: Users’ Perspectives on Their Relative Usability
inferredcites →https://doi.org/10.1007/978-1-4471-3754-2_16openalex-snapshot
MovieLens Unplugged: Experiences with a Recommender System on Four Mobile Devices
inferredcites →https://doi.org/10.1007/978-3-540-70987-9_23openalex-snapshot
The Effectiveness of Personalized Movie Explanations: An Experiment Using Commercial Meta-data
inferredcites →https://doi.org/10.1007/978-3-540-73078-1_67openalex-snapshot
Explaining Recommendations
inferredcites →https://doi.org/10.1007/s11257-008-9051-3openalex-snapshot
The effects of transparency on trust in and acceptance of a content-based art recommender
inferredcites →https://doi.org/10.1016/b978-012267806-6/50061-5openalex-snapshot
Encyclopedia of Mental Health
inferredcites →https://doi.org/10.1016/s0262-1762(08)70235-9openalex-snapshot
Booster switchgear wins award
inferredcites →https://doi.org/10.1023/a:1022850703159openalex-snapshot
A Taxonomy of Recommender Agents on the Internet
inferredcites →https://doi.org/10.1023/b:jiis.0000039532.05533.99openalex-snapshot
Recommender Systems Research: A Connection-Centric Survey
inferredcites →https://doi.org/10.1109/cec-eee.2006.14openalex-snapshot
An Empirical Study on Consumer Behavior in the Interaction with Knowledge-based Recommender Applications
inferredcites →https://doi.org/10.1109/icdew.2007.4401070openalex-snapshot
A Survey of Explanations in Recommender Systems
inferredcites →https://doi.org/10.1109/jcdl.2003.1204866openalex-snapshot
How fast is too fast? evaluating fast forward surrogates for digital video
inferredcites →https://doi.org/10.1109/mcom.2006.1710425openalex-snapshot
An OSGi-based infrastructure for context-aware multimedia services
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1109/mis.2007.52openalex-snapshot
Guest Editors' Introduction: Recommender Systems
inferredcites →https://doi.org/10.1109/mprv.2006.61openalex-snapshot
Supporting Context-Aware Media Recommendations for Smart Phones
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1125451.1125659openalex-snapshot
Being accurate is not enough
inferredcites →https://doi.org/10.1145/1297231.1297255openalex-snapshot
Case amazon
inferredcites →https://doi.org/10.1145/1297231.1297259openalex-snapshot
Effective explanations of recommendations
inferredcites →https://doi.org/10.1145/1297231.1297275openalex-snapshot
Explanations of recommendations
inferredcites →https://doi.org/10.1145/1454008.1454054openalex-snapshot
The value of personalised recommender systems to e-business
inferredcites →https://doi.org/10.1145/301353.301396openalex-snapshot
Persuasive technologie301398
inferredcites →https://doi.org/10.1145/336992.337035openalex-snapshot
Recommender systems in e-commerce
inferredcites →https://doi.org/10.1145/358916.358995openalex-snapshot
Explaining collaborative filtering recommendations
inferredcites →https://doi.org/10.1145/505248.506010openalex-snapshot
Data quality assessment
inferredcites →https://doi.org/10.1145/604079.604094openalex-snapshot
MovieLens unplugged
inferredcites →https://doi.org/10.1145/642611.642713openalex-snapshot
Is seeing believing?
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1145/988772.988804openalex-snapshot
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inferredcites →https://doi.org/10.1145/997078.997097openalex-snapshot
How do users evaluate the credibility of Web sites?
inferredcites →https://doi.org/10.14429/djlit.28.3.174openalex-snapshot
Application Domain and Functional Classification of Recommender Systems—A Survey
inferredcites →https://doi.org/10.5220/0001422901350145openalex-snapshot
Trust Building in Recommender Agents
inferredcites →https://doi.org/10.5555/827140.827176openalex-snapshot
How fast is too fast? evaluating fast forward surrogates for digital video
inferredcites →https://doi.org/10.5860/choice.32-0638openalex-snapshot
Encyclopedia of human behavior

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Exploring and Eliciting Needs and Preferences for Wikidata
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Exploring the Impact of Persuasive Features on Customer Satisfaction Levels of E-Commerce Websites Based on the Kano Model
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Watch This! The Influence of Recommender Systems and Social Factors on the Content Choices of Streaming Video on Demand Consumers
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Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
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Exploitation of Web Resources Towards Increased Conversions and Effectiveness
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Recommendation Systems: Bridging Technical Aspects with Marketing Implications
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Modeling the Structure of Recommending Interfaces with Adjustable Influence on Users
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Twitter analysis algorithms for Intelligence Circulation System
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Personalization of persuasive explanations in recommender systems: leveraging users’ demographics, social network data, and twitter-derived personality traits
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Improving the effectiveness of experiential decisions by recommendation systems
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The negative impact of visual web advertising content on cognitive process: towards quantitative evaluation
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f-RecX: A framework for designing effective textual explanations in recommender systems’ user interfaces
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New Hidden Persuaders: An Investigation of Attribute-Level Anchoring Effects of Product Recommendations
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Multichannel personalization: Identifying consumer preferences for product recommendations in advertisements across different media channels
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Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy
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Willing to pay for quality personalization? Trade-off between quality and privacy
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Effects of Automation and Transparency on Human Psychophysiological States and Perceived System Performance in Construction Safety Automation: An Electroencephalography Experiment
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Reliance on AI-Driven Recommendations on Netflix: An Integration of the Heuristics-Systematic Model with Human Agency Factors
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Watch What You Write: How Errors in Feedback Influence Consumer Attitudes and Behavior
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Knowledge recommendation for workplace learning: a system design and evaluation perspective
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A gradual approach for maximising user conversion without compromising experience with high visual intensity website elements
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Touching the Explanations: Explaining Movie Recommendation Scores in Mobile Augmented Reality
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Investigating the Effectiveness of Persuasion Strategies on Recommender Systems
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Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources
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Interacting with Recommenders—Overview and Research Directions
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A Model of Social Explanations for a Conversational Movie Recommendation System
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A Socially-Aware Conversational Recommender System for Personalized Recipe Recommendations
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“Serving Each User”: Supporting Different Eating Goals Through a Multi-List Recommender Interface
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Social representations and interface layout: A new way of enhancing persuasive technology applied to organ donation
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Explainable Recommendation: A Survey and New Perspectives
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Designing Persuasive Food Conversational Recommender Systems With Nudging and Socially-Aware Conversational Strategies
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