Reliable peers and useful resources: Searching for the best personalised learning path in a trust- and recommendation-aware environment

Carchiolo, Vincenza; Longheu, Alessandro; Malgeri, Michele

doi:10.1016/j.ins.2009.12.023

Cited by 41 publications

(11 citation statements)

References 33 publications

(35 reference statements)

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“…To realize this, SocialSensor improves statistical models to make them support the new constraints imposed by the social Web eco-system. These models and techniques include (extensions of) topical model [2], frequent item sets mining [3], clustering [4] (see Section 2.2), dynamics of social networks and community detection [5] (see Section 2.3), natural language processing techniques [6], and relevance and ranking modelling [7].…”

Section: Sensor Miningmentioning

confidence: 99%

SocialSensor

Diplaris

Papadopoulos

Kompatsiaris

et al. 2012

Proceedings of the 21st International Conference on World Wide Web

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SocialSensor will develop a new framework for enabling real-time multimedia indexing and search in the Social Web. The project moves beyond conventional text-based indexing and retrieval models by mining and aggregating user inputs and content over multiple social networking sites. Social Indexing will incorporate information about the structure and activity of the users" social network directly into the multimedia analysis and search process. Furthermore, it will enhance the multimedia consumption experience by developing novel user-centric media visualization and browsing paradigms. For example, SocialSensor will analyse the dynamic and massive user contributions in order to extract unbiased trending topics and events and will use social connections for improved recommendations. To achieve its objectives, SocialSensor introduces the concept of Dynamic Social COntainers (DySCOs), a new layer of online multimedia content organisation with particular emphasis on the real-time, social and contextual nature of content and information consumption. Through the proposed DySCOs-centered media search, SocialSensor will integrate social content mining, search and intelligent presentation in a personalized, context and network-aware way, based on aggregation and indexing of both UGC and multimedia Web content.

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Section: Sensor Miningmentioning

confidence: 99%

SocialSensor

Diplaris

Papadopoulos

Kompatsiaris

et al. 2012

Proceedings of the 21st International Conference on World Wide Web

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“…These kinds of systems have been applied successfully to different domains such as e-commerce [10,13,30], University Digital Libraries [35,39,41], movies recommendations and TV programms [2,4,34], technology transference [40], service location [46], education [11], news [29], etc.…”

Section: Recommender Systemsmentioning

confidence: 99%

A google wave-based fuzzy recommender system to disseminate information in University Digital Libraries 2.0

Serrano-Guerrero

Liu

Olivas

et al. 2011

Information Sciences

138

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“…On the one hand, an ontology can be seen as a semantic model containing concepts, their properties, interconceptual relations, and axioms related to the previous elements. In practical settings, ontologies have become widely used because they are reusable and shareable (see for instance [12,23,14,52]). Ontologies can describe learning domains from different perspectives, allowing for a richer description and retrieval of learning contents.…”

Section: Semantic Web and Elearningmentioning

confidence: 99%