A social approach to context-aware retrieval

Abstract

In this paper we present a general purpose solution to Web content perusal by means of mobile devices, named Social Context-Aware Browser. This is a novel approach for the information access based on the users' context, whose aim is to retrieve what the user needs, even if she did not issue any query. Our solution is built upon a social model that exploits the collaborative efforts of the whole community of users to control and manage contextual knowledge, related both to situations and resources. This paper presents a general survey of our solution, describing the idea and presenting an implementation approach.

A Social Approach to High-level Context Generation for Supporting Context-aware M-Learning

“…As the result, the generality of context-aware applications is limited. Another way is to encourage end-users to directly provide and define high-level context or involve in context development, such as Social Context-Aware Browser (Mizzaro & Vassena, 2011) and the CP360 system (Raychoudhury, Shrivastav, Sandha, & Cao, 2015). In these works, end-users directly and explicitly participate in developing or defining context, which means that more complex and implicit high-level context information is not exploited adequately.…”

From IR to Mobile IR

“…Mizzaro and Vassena [132] embed the social dynamics driving the evolution of the Web 2.0 into the CAB, developing a variant named Social CAB (SCAB for short). Here, the users become active entities, since they can interact with resources (web pages, services, applications, etc.)…”

Geographic dimensions of relevance

“…• activity: all the activities related to the information need, ranging from those that generated the information need to those that will be pursued on the basis of the retrieved information (this component deserves some further explanations, see below); • preferences: user's preferences related to the topic or the activity considered (e.g., Rashid et al, 2002); • social: the social context that can influence the relevance of an entity, such as the popularity within a community or among user's connections (e.g., Mizzaro and Vassena, 2011); • mobility: the spatio-temporal availability of the entity (e.g., location and opening hours), the spatiotemporal situation of the user (e.g., location, time schedule, and mode of transportation), available mobility infrastructure, and topological structure (e.g., Mountain and MacFarlane, 2007); • context: everything not pertaining to the previous components, including knowledge about the physical surroundings (e.g., light level or other geographic entities in the surroundings) and informational surroundings (e.g., information contextual to the topic or activity).…”