Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Liqiang Nie|Minghao Zhao|Le Wu|Mohammad Akbari|Yile Liang|Mohammad Akbari|Yile Liang|Lei Chen|Tao Li|Lei Chen|Tao Li|Jian Zhang|Tat-Seng Chua|Jian Zhang|Tat-Seng Chua|Qilin Deng|Kai Wang|Xudong Shen|Tangjie Lv|Runze Wu


Anthology ID:DBLP:conf/sigir/0002WLCZDWSLW22
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:50-59
URL:https://doi.org/10.1145/3477495.3532005
DOI:https://doi.org/10.1145/3477495.3532005
DBLP:conf/sigir/0002WLCZDWSLW22
BibTeX:
@inproceedings{nie-2022-investigating, author = {Liqiang Nie and Minghao Zhao and Le Wu and Mohammad Akbari and Yile Liang and Mohammad Akbari and Yile Liang and Lei Chen and Tao Li and Lei Chen and Tao Li and Jian Zhang and Tat-Seng Chua and Jian Zhang and Tat-Seng Chua and Qilin Deng and Kai Wang and Xudong Shen and Tangjie Lv and Runze Wu}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {50--59}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3532005}, doi = {https://doi.org/10.1145/3477495.3532005} }