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Preference aggregation, as a book category, covers the theory, methods, and applications for combining individual tastes, rankings, or choices into a collective decision or summary. Books in this area treat topics from social choice and voting theory (plurality, Condorcet, Borda, Arrow’s and Gibbard–Satterthwaite theorems) to computational social choice, judgment and rank aggregation, mechanism design, preference elicitation, and algorithmic and statistical techniques used in recommender systems and multiagent decision making. They survey normative issues (fairness, welfare, strategyproofness), computational challenges (complexity, approximation, scalable algorithms), and practical domains such as political elections, committee decision-making, crowdsourcing, collaborative filtering, and resource allocation. Interdisciplinary by nature, the category appeals to readers in economics, political science, computer science, operations research, and applied mathematics who want rigorous models, empirical methods, or design principles for turning individual preferences into group outcomes.

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