Organizations' increasing reliance on externally produced information, such as online user-
generated content (UGC) and crowdsourcing, challenges common assumptions about …

The land area covered by freely available very high-resolution (VHR) imagery has grown
dramatically over recent years, which has considerable relevance for forest observation and …

In this paper, we study worker selection in spatial crowdsourcing, which is the recruitment of
human workers in a specific location to collect geographical data. To achieve better …

In recent years, large language models (LLMs) have garnered increasing attention from both
academia and industry due to their potential to facilitate natural language processing (NLP) …

Last-mile logistics is a crucial phase of online commodity trades. In last-mile logistics, one of
the critical problems is to reasonably assign couriers to distribute the products in time in …

Affective computing is an up-surging research area relying on multimodal multimedia
information processing techniques to study human interaction. Social signal processing …

Truth discovery is an effective tool to unearth truthful answers in crowdsourced question
answering systems. Incentive mechanisms are necessary in such systems to stimulate …

Online crowdsourcing provides a scalable and inexpensive means to collect knowledge (eg
labels) about various types of data items (eg text, audio, video). However, it is also known to …

近年来, 众包为传统数据管理提供了一种通过汇聚群体智慧求解问题的新模式,
并成为当前数据库领域的研究热点之一. 特别是随着移动互联网技术与共享经济模式的快速发展 …

随着各类新型计算技术和新兴应用领域的浮现, 传统数据库技术面临新的挑战,
正在从适用常规应用的单一处理方法逐步转为面向各类特殊应用的多种数据处理方式 …