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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Language Independent Sentiment Analysis of the Shukran Social Network Using Apache Spark
Published in 4th SemWebEval Challenge at ESWC, 2017
In this paper we propose a system that represents the sentiment analysis core engine of theShukran social network, we will detect the original language of users posts, translate them into English and evaluate their sentiment (whether positive, negative or neutral).
Predicting Workout Quality to Help Coaches Support Sportspeople
Published in Proceedings of the Third International Workshop on Health Recommender Systems co-located with Twelfth ACM Conference on Recommender Systems (HealthRecSys'18), 2018
The support of a qualified coach is crucial to keep the motivation of sportspeople high and help them pursuing an active lifestyle. In this paper, we discuss the scenario in which a coach follows sportspeople remotely by means of an eHealth platform, named u4fit.
Fair performance-based user recommendation in eCoaching systems
Published in User Modeling and User-Adapted Interaction, Special Issue on Health Recommender Systems, 2022
In this paper, we study a system that supports coaches in keeping track of the athletes they follow by applying fair recommendations on where to invest their time at the moment. In addition to providing accurate athlete recommendations, the paper focuses on guaranteeing fair exposure in the ranking to secure equal opportunities for all athletes.