Catalyzing Social Interactions in Mixed Reality using ML Recommendation Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Srivastava, Sparsh, Arora, Rohan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TweetInfo: An Interactive System to Mitigate Online Harm
by: Shahi, Gautam Kishore
Published: (2024)
by: Shahi, Gautam Kishore
Published: (2024)
Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)
by: Wan, Ruyuan, et al.
Published: (2025)
by: Wan, Ruyuan, et al.
Published: (2025)
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
by: Kaur, Kirandeep, et al.
Published: (2024)
by: Kaur, Kirandeep, et al.
Published: (2024)
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
by: Hasan, Mahamudul
Published: (2024)
by: Hasan, Mahamudul
Published: (2024)
Online Digital Investigative Journalism using SociaLens
by: Jamil, Hasan M., et al.
Published: (2024)
by: Jamil, Hasan M., et al.
Published: (2024)
Contextual Font Recommendations based on User Intent
by: Sharma, Sanat, et al.
Published: (2023)
by: Sharma, Sanat, et al.
Published: (2023)
Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks
by: Bojic, Ljubisa, et al.
Published: (2025)
by: Bojic, Ljubisa, et al.
Published: (2025)
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
by: Sun, Ruixuan, et al.
Published: (2024)
by: Sun, Ruixuan, et al.
Published: (2024)
User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study
by: Albert, Julien, et al.
Published: (2024)
by: Albert, Julien, et al.
Published: (2024)
The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions
by: Cerulli, Aldo, et al.
Published: (2026)
by: Cerulli, Aldo, et al.
Published: (2026)
Into the Void: Understanding Online Health Information in Low-Web Data Languages
by: Nigatu, Hellina Hailu, et al.
Published: (2025)
by: Nigatu, Hellina Hailu, et al.
Published: (2025)
Forgetful by Design? A Critical Audit of YouTube's Search API for Academic Research
by: Rieder, Bernhard, et al.
Published: (2025)
by: Rieder, Bernhard, et al.
Published: (2025)
Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
by: Matrosova, Kristina, et al.
Published: (2024)
by: Matrosova, Kristina, et al.
Published: (2024)
Beyond the Checkbox: Strengthening DSA Compliance Through Social Media Algorithmic Auditing
by: Solarova, Sara, et al.
Published: (2026)
by: Solarova, Sara, et al.
Published: (2026)
USE: Dynamic User Modeling with Stateful Sequence Models
by: Zhou, Zhihan, et al.
Published: (2024)
by: Zhou, Zhihan, et al.
Published: (2024)
From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models
by: Chu, Jung-Mei, et al.
Published: (2024)
by: Chu, Jung-Mei, et al.
Published: (2024)
Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
by: Bakhshi, Saeideh, et al.
Published: (2025)
by: Bakhshi, Saeideh, et al.
Published: (2025)
Language-Based User Profiles for Recommendation
by: Zhou, Joyce, et al.
Published: (2024)
by: Zhou, Joyce, et al.
Published: (2024)
From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics
by: Wang, Junjie, et al.
Published: (2026)
by: Wang, Junjie, et al.
Published: (2026)
User Modeling and User Profiling: A Comprehensive Survey
by: Purificato, Erasmo, et al.
Published: (2024)
by: Purificato, Erasmo, et al.
Published: (2024)
Chasing RATs: Tracing Reading for and as Creative Activity
by: Liu, Sophia, et al.
Published: (2026)
by: Liu, Sophia, et al.
Published: (2026)
Recommending With, Not For: Co-Designing Recommender Systems for Social Good
by: Ekstrand, Michael D., et al.
Published: (2025)
by: Ekstrand, Michael D., et al.
Published: (2025)
Labeled Interactive Topic Models
by: Seelman, Kyle, et al.
Published: (2023)
by: Seelman, Kyle, et al.
Published: (2023)
Human-Computer Interaction as a basis for assessing Geographic Information Retrieval Systems.
by: Manuel Enrique Puebla Martínez
Published: (2018)
by: Manuel Enrique Puebla Martínez
Published: (2018)
Rethinking the filter bubble? Developing a research agenda for the protective filter bubble
by: Erickson, Jacob
Published: (2025)
by: Erickson, Jacob
Published: (2025)
Intuition First or Reflection Before Judgment? The Impact of Evaluation Sequence on Consumer Ratings
by: Wang, He, et al.
Published: (2025)
by: Wang, He, et al.
Published: (2025)
Impact of Tone-Aware Explanations in Recommender Systems
by: Okoso, Ayano, et al.
Published: (2024)
by: Okoso, Ayano, et al.
Published: (2024)
Post-Userist Recommender Systems : A Manifesto
by: Burke, Robin, et al.
Published: (2024)
by: Burke, Robin, et al.
Published: (2024)
Learning to Rank for Maps at Airbnb
by: Haldar, Malay, et al.
Published: (2024)
by: Haldar, Malay, et al.
Published: (2024)
AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
by: Chen, Xiaoqing, et al.
Published: (2025)
by: Chen, Xiaoqing, et al.
Published: (2025)
Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent
by: Jin, Xiaofu, et al.
Published: (2026)
by: Jin, Xiaofu, et al.
Published: (2026)
A Literature Review on Simulation in Conversational Recommender Systems
by: Zhang, Haoran, et al.
Published: (2025)
by: Zhang, Haoran, et al.
Published: (2025)
Can Users Fix Algorithms? A Game-Theoretic Analysis of Collective Content Amplification in Recommender Systems
by: Fedorova, Ekaterina, et al.
Published: (2025)
by: Fedorova, Ekaterina, et al.
Published: (2025)
Early Explorations of Recommender Systems for Physical Activity and Well-being
by: Said, Alan
Published: (2025)
by: Said, Alan
Published: (2025)
Learning Outcomes, Assessment, and Evaluation in Educational Recommender Systems: A Systematic Review
by: Askarbekuly, Nursultan, et al.
Published: (2024)
by: Askarbekuly, Nursultan, et al.
Published: (2024)
Development of a WAZOBIA-Named Entity Recognition System
by: Emedem, S. E, et al.
Published: (2025)
by: Emedem, S. E, et al.
Published: (2025)
Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content
by: Cen, Sarah H., et al.
Published: (2024)
by: Cen, Sarah H., et al.
Published: (2024)
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
by: Ahn, Yongsu, et al.
Published: (2024)
by: Ahn, Yongsu, et al.
Published: (2024)
Echoes in the Loop: Diagnosing Risks in LLM-Powered Recommender Systems under Feedback Loops
by: Park, Donguk, et al.
Published: (2026)
by: Park, Donguk, et al.
Published: (2026)
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems
by: Wang, Mengyan, et al.
Published: (2024)
by: Wang, Mengyan, et al.
Published: (2024)
Similar Items
-
TweetInfo: An Interactive System to Mitigate Online Harm
by: Shahi, Gautam Kishore
Published: (2024) -
Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)
by: Wan, Ruyuan, et al.
Published: (2025) -
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
by: Kaur, Kirandeep, et al.
Published: (2024) -
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
by: Hasan, Mahamudul
Published: (2024) -
Online Digital Investigative Journalism using SociaLens
by: Jamil, Hasan M., et al.
Published: (2024)