作者: Neal Lathia
DOI: 10.1007/978-1-4614-8806-4_45
关键词: Recommender system 、 Computer science 、 Smart card 、 Bridging (programming) 、 Open research 、 Data science 、 Public transport
摘要: Data from ‘human sensors’ is increasingly easy to collect. Yet how may systems be designed that put it use? This chapter discusses this question in three steps. First, we describe the increasing ubiquity of digital facilitating creation streams human data. We characterise these data sources according their purpose, obtrusiveness, structure, and hierarchy. Then, address kinds are already reaping benefits sources; they broadly categorised as recommendation, retrieval, behaviour-mediating systems. Finally, a case study potential built support urban travellers by leveraging themselves create while navigating city. The concludes with open research challenges, related understanding context creation, use data, best architect bridge between two.