
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
On Natural Language User Profiles for Transparent and Scrutable Recommendation
Filip Radlinski, Krisztian Balog, Fernando Díaz, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2863-2874
Open Access | Times Cited: 10
Filip Radlinski, Krisztian Balog, Fernando Díaz, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 2863-2874
Open Access | Times Cited: 10
Showing 10 citing articles:
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Scott Sanner, Krisztian Balog, Filip Radlinski, et al.
(2023), pp. 890-896
Open Access | Times Cited: 44
Scott Sanner, Krisztian Balog, Filip Radlinski, et al.
(2023), pp. 890-896
Open Access | Times Cited: 44
Large Language Model Augmented Narrative Driven Recommendations
Sheshera Mysore, Andrew McCallum, Hamed Zamani
(2023), pp. 777-783
Open Access | Times Cited: 20
Sheshera Mysore, Andrew McCallum, Hamed Zamani
(2023), pp. 777-783
Open Access | Times Cited: 20
Result Diversification in Search and Recommendation: A Survey
Haolun Wu, Yansen Zhang, Chen Ma, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 10, pp. 5354-5373
Open Access | Times Cited: 7
Haolun Wu, Yansen Zhang, Chen Ma, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 10, pp. 5354-5373
Open Access | Times Cited: 7
The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA
Abel Salinas, Parth Shah, Yuzhong Huang, et al.
(2023), pp. 1-15
Open Access | Times Cited: 12
Abel Salinas, Parth Shah, Yuzhong Huang, et al.
(2023), pp. 1-15
Open Access | Times Cited: 12
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
Abel Salinas, Parth Shah, Yuzhong Huang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Abel Salinas, Parth Shah, Yuzhong Huang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
EXtrA-ShaRC: Explainable and Scrutable Reading Comprehension for Conversational Systems
Jerome Ramos, Aldo Lipani
(2024), pp. 47-56
Open Access
Jerome Ramos, Aldo Lipani
(2024), pp. 47-56
Open Access
Chain-of-thought prompting empowered generative user modeling for personalized recommendation
Fan Yang, Yong Yue, Gangmin Li, et al.
Neural Computing and Applications (2024)
Closed Access
Fan Yang, Yong Yue, Gangmin Li, et al.
Neural Computing and Applications (2024)
Closed Access
“If I Like BLANK, What Else Will I Like?”: Analyzing a Human Recommendation Community on Reddit
Thi Binh Minh Cao, Toine Bogers
Lecture notes in computer science (2024), pp. 70-83
Closed Access
Thi Binh Minh Cao, Toine Bogers
Lecture notes in computer science (2024), pp. 70-83
Closed Access
KNNs of Semantic Encodings for Rating Prediction
Léo Laugier, Raghuram Vadapalli, Thomas Bonald, et al.
(2023), pp. 82-91
Open Access | Times Cited: 1
Léo Laugier, Raghuram Vadapalli, Thomas Bonald, et al.
(2023), pp. 82-91
Open Access | Times Cited: 1
On Reducing User Interaction Data for Personalization
Steffen Rendle, Zhang Li
ACM Transactions on Recommender Systems (2023)
Open Access
Steffen Rendle, Zhang Li
ACM Transactions on Recommender Systems (2023)
Open Access