Knowledge Based Recommender system for Tourists - Anteneh, Tamir; Kumilachew, Alemu; Nega, Adane
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Nowadays it is very important for people to be supported in their decisions, due to the exponential increase of the available information. This exponential growth of information creates information overload.However, the term is defined, there cannot be many people who have not experienced the feeling of having too much information which uses up too much of their time, causing them to feel stressed which, in turn, affects their decision-making. i.e people may tend to be reluctant in making decision or they may leads to wrong decision. Recommender systems have proven to be an important response…mehr

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Produktbeschreibung
Nowadays it is very important for people to be supported in their decisions, due to the exponential increase of the available information. This exponential growth of information creates information overload.However, the term is defined, there cannot be many people who have not experienced the feeling of having too much information which uses up too much of their time, causing them to feel stressed which, in turn, affects their decision-making. i.e people may tend to be reluctant in making decision or they may leads to wrong decision. Recommender systems have proven to be an important response to such a problem by providing users with more proactive and personalized information services. It usually track user's behavior and collect information about items that the user seems to be interested in so that they can build a model of what user likes.
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Autorenporträt
Tamir Anteneh Alemu, Msc. estudou Ciência da Informação na Universidade de Adis Abeba, Etiópia, e é professor na Universidade de Bahir Dar, Faculdade de Informática.