Awesome Computers & Society

Hesitation and Tolerance in Recommender Systems (2024)

Kuan Zou et al.

6.84

What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems (2025)

Brett Binst et al.

5.70

Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content (2025)

Wenqi Li et al.

5.18

Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study (2026)

Andrea Gerardo Russo et al.

5.01

Office Comprehension Benchmark (2026)

Firoz Shaik et al.

5.01

The Organizational Behavior of Agentic AI: Collective Intelligence in Human-Agent Workflows (2026)

Canhui Liu

4.95

Three Futures for the Diagnostic Radiologist: A Structured Disagreement About What AI Actually Changes (2026)

Jan Beger et al.

4.39

Copewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness Support (2026)

Seren Yenikent et al.

4.39

Perceived System Predictability: Scale Development and Application (2026)

Hendrik Schuff et al.

4.39

From Novelty to Normalisation: Tracking Changing Perceptions of AI in Higher Education, 2024-2026 (2026)

Juliana Gerard et al.

4.39

Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft (2026)

Zeynep Engin et al.

4.39

Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks (2026)

Rawaa Alatrash et al.

4.39

The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems (2026)

Gjergji Kasneci et al.

4.39

Intellectual Humility as a Cognitive Filter for AI-Generated Health Misinformation. An Evolutionary Perspective on Epistemic Vigilance (2026)

Marcin Rz\k{a}deczka et al.

4.33

Geographic Bias and Diversity in AI Evaluation (2026)

Zilong Liu et al.

4.33

Improving Survey Participation in Low-Literacy Populations Through Value-Sensitive Conversational AI (2026)

Raj Gaurav Maurya

4.33

Using AI Agents to Automate Black-Box Audits of Personalization Algorithms at Scale (2026)

Alessandro Morosini et al.

4.33

Anthropomorphism in AI Companion Communities: Age, Gender, and Emotional Correlates (2026)

Afia Mubashir et al.

4.33

Towards Critical IR Theories and Practices (2026)

Bhaskar Mitra

4.33

Social-Annotate: Self-Healing Browser Extension to Annotate and Collect Social Media Data (2026)

Ali Najafi et al.

3.51

Synthetic Contact with AI Reduces Cross-Partisan Animosity (2026)

Benjamin Lira et al.

3.51

Solipsistic Superintelligence is Unlikely to be Cooperative (2026)

Rakshit S Trivedi et al.

3.45

Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems (2025)

Ivica Kostric et al.

2.76

ProReco: A Process Discovery Recommender System (2025)

Tsung-Hao Huang et al.

2.65

Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging (2026)

Pinxian Lu et al.

1.94

All Relations Lead to Rome: Automated Knowledge Graph Creation and Question Generation (2026)

Matthijs Jansen op de Haar et al.

1.94

Four Types of LLM Reliance and Their Predictors Among Undergraduate Writers: A Mixed-Methods Study at a Minority-Serving R1 University (2026)

Shahin Hossain

1.94

Causal Inference for Recommender Systems: Methods, Challenges, and Applications (2026)

Yunlong Jiao

1.94

Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System (2026)

Qurat Ul Ain and Mohamed Amine Chatti and William Kana Tsoplefack and Rawaa Alatrash and Shoeb Joarder

1.89

Recommender system in X inadvertently profiles ideological positions of users (2026)

Paul Bouchaud and Pedro Ramaciotti

1.72

Intelligent Front-End Personalization: AI-Driven UI Adaptation (2026)

Mona Rajhans

1.72

On the Reliability of User-Centric Evaluation of Conversational Recommender Systems (2026)

Michael M\"uller et al.

1.72

Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways (2026)

Junning Zhao et al.

1.67

SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning (2025)

Ashmi Banerjee et al.

1.50

Understanding User Preferences for Interaction Styles in Conversational Recommender Systems: The Predictive Role of System Qualities, User Experience, and Traits (2025)

Raj Mahmud et al.

1.39

A Survey of Affective Recommender Systems: Modeling Attitudes, Emotions, and Moods for Personalization (2025)

Tonmoy Hasan and Razvan Bunescu

1.39

Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems (2025)

Yeonbin Son and Matthew L. Bolton

1.33

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories (2025)

Georgios Koutroumpas et al.

1.28

Designing and Evaluating an Educational Recommender System with Different Levels of User Control (2025)

Qurat Ul Ain and Mohamed Amine Chatti and William Kana Tsoplefack and Rawaa Alatrash and Shoeb Joarder

1.00

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote) (2025)

Ruyuan Wan et al.

1.00

Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms (2023)

Linus W. Dietz and Pablo S\'anchez and Alejandro Bellog\'in

0.28

When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations (2023)

David Liu et al.

0.22

Idea of a new Personality-Type based Recommendation Engine (2013)

Animesh Pandey

—

Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild (2015)

Linas Baltrunas et al.

—

The topological face of recommendation: models and application to bias detection (2017)

Erwan Le Merrer and Gilles Tr\'edan

—

Improving Recommender Systems Beyond the Algorithm (2018)

Tobias Schnabel et al.

—

Recommender system for learning SQL using hints (2018)

Dejan Lavbi\v{c} et al.

—

A Model for Using Physiological Conditions for Proactive Tourist Recommendations (2019)

Rinita Roy and Linus W. Dietz

—

One Size Does Not Fit All: Modeling Users' Personal Curiosity in Recommender Systems (2019)

Fakhri Abbas and Xi Niu

—

Successive Point-of-Interest Recommendation with Local Differential Privacy (2019)

Jong Seon Kim et al.

—

Cross-Cutting Political Awareness through Diverse News Recommendations (2019)

Bibek Paudel et al.

—

Aligning Daily Activities with Personality: Towards A Recommender System for Improving Wellbeing (2019)

Mohammed Khwaja et al.

—

Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering (2019)

Keum Gang Cha et al.

—

Tubes & Bubbles -- Topological confinement of YouTube recommendations (2020)

Camille Roth and Antoine Mazi\`eres and Telmo Menezes

—

Assessing the Helpfulness of Review Content for Explaining Recommendations (2020)

D. C. Hernandez-Bocanegra et al.

—

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce (2020)

Mohamed Maher (1) et al.

—

Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces (2021)

Mats Mulder et al.

—

Personalised Recommendations in Mental Health Apps: The Impact of Autonomy and Data Sharing (2021)

Svenja Pieritz et al.

—

A Survey on Personality-Aware Recommendation Systems (2021)

Sahraoui Dhelim et al.

—

BeautifAI -- A Personalised Occasion-oriented Makeup Recommendation System (2021)

Kshitij Gulati et al.

—

Awesome Computers & Society

Datasets & benchmarks

Key papers

Computers & Society

Awesome Computers & Society

Datasets & benchmarks

Key papers