Budgeted Social Choice: From Consensus to Personalized Decision Making
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 280-285.
Abstract
We develop a general framework for social choice problems in which a limited number of alternatives can be recommended to an agent population. In our budgeted social choice model, this limit is determined by a budget, capturing problems that arise naturally in a variety of contexts, and spanning the continuum from pure consensus decision making (i.e., standard social choice) to fully personalized recommendation. Our approach applies a form of segmentation to social choice problems— requiring the selection of diverse options tailored to different agent types—and generalizes certain multi-winner election schemes. We show that standard rank aggregation methods perform poorly, and that optimization in our model is NP-complete; but we develop fast greedy algorithms with some theoretical guarantees. Experiments on real-world datasets demonstrate the effectiveness of our algorithms.
@inproceedings{ijcai2011p57,
title = {Budgeted Social Choice: From Consensus to Personalized Decision Making},
author = {Lu, Tyler and Boutilier, Craig},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {280--285},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-057},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-057},
}
TY - CPAPER TI - Budgeted Social Choice: From Consensus to Personalized Decision Making AU - Lu, Tyler AU - Boutilier, Craig T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 280 EP - 285 DO - 10.5591/978-1-57735-516-8/IJCAI11-057 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-057 ER -Copied
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