作者: Maria Taramigkou , Dimitris Apostolou , Gregoris Mentzas
DOI: 10.1016/J.IPM.2018.04.001
关键词: Personality 、 Big Five personality traits 、 Action (philosophy) 、 Human–computer interaction 、 Process (engineering) 、 Information seeking 、 Session (web analytics) 、 Computer science 、 Context (language use) 、 Exploratory search
摘要: Abstract Exploratory search is a type of information seeking used by searchers who are either unfamiliar with the domain their goal, unsure about ways to achieve goals or uncertain in first place. We present method that utilizes interactional context and personality order proactively prompt users undertake actions for improving exploratory its outcome. Our approach based on inferring exploration patterns logged past behavior produce models behavior, which turn predict next action current context. The user classified into specific groups share traits we have analyzed behaviors. At same time, assume belong within group show similar tactics reach goal such as sequence performed. Having models, how can interaction given session. In this way, assist process act providing meaningful recommendations prompts towards possibly undiscovered facets topic under investigation.