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Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
In this paper, we study if reusing Google+ profiles can provide reliable recommendations on Twitter to resolve the cold start problem. Next, we investigate the impact of giving different weights for aggregating user profiles from two OSNs and present that giving a higher weight to the targeted OSN profile for aggregation allows the best performance in the context of a personalized link recommender system. Finally, we propose a user modeling strategy which combines entity-and category-based user profiles using with a discounting strategy. Results show that our proposed strategy improves the quality of user modeling significantly compared to the baseline method.
Conference Name: 
24th Conference on User Modeling, Adaptation and Personalization
Proceedings: 
24th Conference on User Modeling, Adaptation and Personalization
Digital Object Identifer (DOI): 
10.1145/2930238.2930278
Publication Date: 
11/07/2016
Conference Location: 
Canada
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: