RecRankerEval: A Reproducible Framework for Deploying and Evaluating LLM-Based Top-k Recommenders.

@inproceedings{meng-2026-recrankereval, author = {Zeyuan Meng and Zixuan Yi and Iadh Ounis}, editor = {Ricardo Campos and Adam Jatowt and Yanyan Lan and Mohammad Aliannejadi and Christine Bauer and Sean MacAvaney and Avishek Anand and Zhaochun Ren and Suzan Verberne and Nan Bai and Masoud Mansoury}, title = {{RecRankerEval: A Reproducible Framework for Deploying and Evaluating LLM-Based Top-k Recommenders}}, booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III}}, series = {Lecture Notes in Computer Science}, volume = {16485}, pages = {98--114}, publisher = {Springer}, year = {2026}, url = {https://doi.org/10.1007/978-3-032-21324-2_7}, doi = {https://doi.org/10.1007/978-3-032-21324-2_7} }