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A hybrid user action prediction model that uses Sequence Mining (SM) and Collaborative Filtering (CF). The model leverages information about the users' performed actions and predicts whether a target user will perform a target action on an item.
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Contains work done by Aman for his thesis
Supervisors:-
Marco Montali Andy RivkinUpdated -
External University Project (Outside of courses). This is a Demo software for the research Project Language Learning based on Computational Thinking
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Stanford CoreNLP tools for SkELL @ unibz/EURAC/Uni Innsbruck.
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An android application to combine vpn-tunnel, production data and remote desktop access all in an easy to use solution, requiring as little as possible system knowledge and input from user
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HotMaps Kick-off 13-14 October @ TUW, Wien Free and Open-source Philosophy
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