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Personalized task recommendation in crowdsourcing information systems—Current state of the art
D Geiger, M Schader - Decision Support Systems, 2014 - Elsevier
Crowdsourcing information systems are socio-technical systems that provide informational
products or services by harnessing the diverse potential of large groups of people via the …
products or services by harnessing the diverse potential of large groups of people via the …
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and
understand online entities. Recommender systems similarly enable users to efficiently …
understand online entities. Recommender systems similarly enable users to efficiently …
Facebook single and cross domain data for recommendation systems
The emergence of social networks and the vast amount of data that they contain about their
users make them a valuable source for personal information about users for recommender …
users make them a valuable source for personal information about users for recommender …
Matching recommendation technologies and domains
R Burke, M Ramezani - Recommender systems handbook, 2010 - Springer
Recommender systems form an extremely diverse body of technologies and approaches.
The chapter aims to assist researchers and developers to identify the recommendation …
The chapter aims to assist researchers and developers to identify the recommendation …
Semantic modelling of user interests based on cross-folksonomy analysis
The continued increase in Web usage, in particular participation in folksonomies, reveals a
trend towards a more dynamic and interactive Web where individuals can organise and …
trend towards a more dynamic and interactive Web where individuals can organise and …
A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
WP Lee, C Kaoli, JY Huang - Knowledge-Based Systems, 2014 - Elsevier
Smart TV, which enables viewers to conveniently access different multimedia contents and
interactive services in a single platform, is currently becoming popular. The work presented …
interactive services in a single platform, is currently becoming popular. The work presented …
An information diffusion-based recommendation framework for micro-blogging
Micro-blogging is increasingly evolving from a daily chatting tool into a critical platform for
individuals and organizations to seek and share real-time news updates during …
individuals and organizations to seek and share real-time news updates during …
Live social semantics
Social interactions are one of the key factors to the success of conferences and similar
community gatherings. This paper describes a novel application that integrates data from the …
community gatherings. This paper describes a novel application that integrates data from the …
Corrective language modeling for large vocabulary ASR with the perceptron algorithm
This paper investigates error-corrective language modeling using the perceptron algorithm
on word lattices. The resulting model is encoded as a weighted finite-state automaton, and is …
on word lattices. The resulting model is encoded as a weighted finite-state automaton, and is …
Significance and popularity in music production
Creative industries constantly strive for fame and popularity. Though highly desirable,
popularity is not the only achievement artistic creations might ever acquire. Leaving a …
popularity is not the only achievement artistic creations might ever acquire. Leaving a …