Year: 2020
Type: conference-paper
Abstract: Identifying the top-K items in a set of items is a problem that finds applications in many areas, such as recommender systems, social review platforms, online contests, web search, and more. Crowdsourcing provides an effective way to collect input for such tasks with low costs and has attracted significant attention.
Authors: Shenshen Liang, Luca de Alfaro
Institution: University of California, Santa Cruz
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W3009838346