Acquiring the user’s opinion by using a generalized Context-aware Recommender System for real-world applications
نویسندگان
چکیده
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 کاملTowards a Context-Aware Photo Recommender System
The main challenge of recommender systems is to be able to identify and recommend items that have a greater chance of meeting the interests of their users, which generally have a very subjective and heterogeneous nature. It is imperative, then, that recommender systems, from the identification of each user's profile, could recommend personalized items. However, the user’s profile is not enough ...
متن کاملRelevant Context in a Movie Recommender System: Users’ Opinion vs. Statistical Detection
Context-aware recommender systems help users find their desired content in a reasonable time, by exploiting the pieces of information that describe the situation in which users will consume the items. One of the remaining issues in such systems is determining which contextual information is relevant and which is not. This is an issue since the irrelevant contextual information can degrade the r...
متن کاملA Context Aware Recommender System for Creativity Support Tools
The development of methods that can enhance the creativity process is becoming a continuous necessity. Through the years several researchers modelled and defined creativity focusing to the psychological aspect of the topic. More recent researchers approach creativity as a computerized process by simulating it within creativity support tools (CST). This article supports that usage of context awa...
متن کاملA Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System
Most existing approaches in Mobile Context-Aware Recommender Systems focus on recommending relevant items to users taking into account contextual information, such as time, location, or social aspects. However, none of them has considered the problem of user’s content evolution. We introduce in this paper an algorithm that tackles this dynamicity. It is based on dynamic exploration/exploitation...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i2.7.11087