Apr 20, 2017 · Abstract:Users form information trails as they browse the web, checkin with a geolocation, rate items, or consume media.
In this paper we propose the retrospective higher-order Markov process (RHOMP) as a low-parameter model for such sequences. This model is a special case of a ...
In this paper we propose the retrospective higher-order Markov process (RHOMP) as a low-parameter model for such sequences. This model is a special case of a ...
Apr 20, 2017 · ABSTRACT. Users form information trails as they browse the web, checkin with a geolocation, rate items, or consume media. A common problem.
In this paper we propose the retrospective higher-order Markov process (RHOMP) as a low-parameter model for such sequences. This model is a special case of a ...
The retrospective higher-order Markov process (RHOMP) is proposed as a low-parameter model for such sequences of data where the transitions depend ...
Authors Tao Wu and David Gleich introduce the retrospective higher-order Markov process (RHOMP) to predict user behavior based on information trails.
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Codes from the paper "Retrospective Higher-Order Markov Processes for User Trails" - wutao27/RHOMP.
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