Costa, JoanaSilva, CatarinaRibeiro, BernardeteAntunes, Mário2026-03-192026-03-192013-12J. Costa, C. Silva, B. Ribeiro and M. Antunes, "CrowdTargeting: Making Crowds More Personal," 2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization, Bayonne, France, 2013, pp. 21-26, doi: 10.1109/SMAP.2013.20.978-076955132-6http://hdl.handle.net/10400.8/15924Article number 6735562Crowdsourcing is a bubbling research topic that has the potential to be applied in numerous online and social scenarios. It consists on obtaining services or information by soliciting contributions from a large group of people. However, the question of defining the appropriate scope of a crowd to tackle each scenario is still open. In this work we compare two approaches to define the scope of a crowd in a classification problem, casted as a recommendation system. We propose a similarity measure to determine the closeness of a specific user to each crowd contributor and hence to define the appropriate crowd scope. We compare different levels of customization using crowd-based information, allowing non-experts classification by crowds to be tuned to substitute the user profile definition. Results on a real recommendation data set show the potential of making crowds more personal, i.e. of tuning the crowd to the crowdtarget.engCrowdsourcingRecommendation SystemsCustomizationText Classificationconference paper10.1109/smap.2013.20