Recommendation System Based on Complete Personalization
نویسندگان
چکیده
منابع مشابه
Recommendation System Based on Complete Personalization
Current recommender systems are very inefficient. There are many metrics that are used to measure the effectiveness of recommender systems. These metrics often include “conversion rate” and “click through rate”. Recently, these rates are in low single digit (less than 10%). In other words, for more than 90% of times, the model that the targeting system is based on, produces noise. The belief in...
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Dealing with user preferences is becoming a widespread issue in novel data-intensive application domains, such as electronic catalogs, e-commerce, multimedia databases, and real estates. Given a set of preferences, an important problem is to efficiently determine which are the “best” objects, according to such preferences. In this paper we assume that preferences are expressed in a qualitative ...
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Recommendation and personalization attempt to reduce information overload and retain customers. While research in both recommender systems and personalization grew mainly out of information retrieval, both areas have emerged from nascent levels to veritable and challenging research areas in their own right. Whereas no technical or sophisticated methodologies exist by which to build such systems...
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Today, tourism is one of the most lucrative industries in the world. Due to the large amount of information that exists about the points of Interest (POI) of a city, the tourist is faced with an overload of information. As a result, a recommending system is needed to recommend suitable tourist places to the tourist in the shortest time. In order to offer a better offer, the interests and contex...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.05.379