منابع مشابه
Context-Aware Recommender Systems: A Review of the Structure Research
Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...
متن کاملTrust-aware Recommender Systems Chapter 1 Trust-aware Recommender Systems Trust-aware Recommender Systems 1.1 Recommender Systems Trust-aware Recommender Systems
Recommender systems are an effective solution to the information overload problem, specially in the online world where we are constantly faced with inordinately many choices. These systems try to find the items such as books or movies that match best with users’ preferences. Based on the different approaches to finding the items of interests to users, we can classify the recommender systems int...
متن کاملSequence-Aware Recommender Systems
Characterization. Adopting the formalisms of [3], we can describe the problem at a more formal, abstract level as follows. Let C be a set of users and I a set of recommendable items. In contrast to matrix-completion problems, we are not interested in predicting a utility value for each i ∈ I and for each c ∈ C , but in computing an ordered list of objects L of length k for each user, where each...
متن کاملSocially Optimal Use of Recommender Systems
We study the efficient allocation of buyers in the presence of recommender systems. A recommender system affects the market in two ways: (i) it creates value by reducing product uncertainty for the customers and hence (ii) its recommendations can be offered as add-ons, which generates informational externalities. We investigate the impact of these factors on the efficient allocation of buyers a...
متن کاملContext-Aware Recommender Systems Evaluation
As the amount of data provided by various software systems increases, there is a need to offer a filtered set of items personalized to user's needs. To enhance user's comfort and thus to satisfy him, we call for recommender system. Recommender systems suggest a set of items that a user might be interested in or might find them useful. Basically, accomplishing recommendation task consists of two...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/20134-2224