Evolution of recommender paradigm optimization over time
نویسندگان
چکیده
منابع مشابه
Assortment optimization over time
In this note we introduce the problem of assortment optimization over time. We have a sequence of time steps and can introduce one new product per time step. Once introduced a product can not be removed. The goal is to determine which products to introduce so as to maximize revenue over all time steps under some choice model. Given a 1/α-approximation algorithm for the capacitated assortment op...
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Recommender systems are the systems that try to make recommendations to each user based on performance, personal tastes, user behaviors, and the context that match their personal preferences and help them in the decision-making process. One of the most important subjects regarding these systems is to increase the system accuracy which means how much the recommendations are close to the user int...
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Topic modeling has emerged as a powerful tool for understanding and managing large electronic archives. [1, 2] It provides the methods to discover the hidden themes that pervade the collection; annotate the documents according to those themes; and then use annotations to organize, summarize and search the texts. Besides discovering topics from corpus, topic modeling algorithm has also been used...
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OBJECTIVE In previous studies we identified a subgroup of patients whose perception of breathlessness was exaggerated during acute bronchoconstriction and who were termed "over perceivers" or "hyperperceivers". In this study we aimed to determine whether such over perception is sporadic or stable over time. We also examined whether there is an association between over perception of dyspnea and ...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2019
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2019.06.008