Towards improving user-recommender systems interactions-Reference-Cited by-同舟云学术

Towards improving user-recommender systems interactions

Published:2022-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/SICE International Symposium on System Integration (SII)
language:
Short-container-title:

Author:

Zhong Jinfeng,Negre Elsa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9708598/9708599/09708869.pdf?arnumber=9708869

Reference28 articles.

1. The Mythos of Model Interpretability

2. Ai: To interpret or to explain?;jinfeng;INFOR,2021

3. Exploiting distributional semantics models for natural language context-aware justifications for recommender systems;musto;IntRS RecSys,2020

4. Context-aware places of interest recommendations and explanations;baltrunas;First International Workshop on Decision Making and Recommendation Acceptance Issues in Recommender Systems (DEMRA 2011),2011

5. Explaining contextual recommendations: Interaction design study and prototype implementation;misztal;IntRS RecSys,2015

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The impacts of relevance of recommendations and goal commitment on user experience in news recommender design;User Modeling and User-Adapted Interaction;2024-06-25

2. Profit vs Accuracy: Balancing the Impact on Users Introduced by Profit-Aware Recommender Systems;Information and Communication Technologies;2023

3. Contextual TV Show Recommendation;Frontiers in Artificial Intelligence and Applications;2022-10-17

4. A³R: Argumentative explanations for recommendations;2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA);2022-10-13