Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems.

Shuo Zhang|Mu-Chun Wang|Krisztian Balog


Anthology ID:DBLP:conf/sigir/0006WB22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:133-143
URL:https://doi.org/10.1145/3477495.3531936
DOI:https://doi.org/10.1145/3477495.3531936
DBLP:conf/sigir/0006WB22
BibTeX:
@inproceedings{zhang-2022-analyzing, author = {Shuo Zhang and Mu-Chun Wang and Krisztian Balog}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {133--143}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531936}, doi = {https://doi.org/10.1145/3477495.3531936} }