Contextual Variables Relationships and their Effect on Recommender Systems
نویسندگان
چکیده
منابع مشابه
Social Relationships in Recommender Systems
The current industry standard for recommender system uses variants of collaborative filtering (CF), where recipient-source relationships are determined by the extent to which the recipient and source share interests. This research attempts to improve the performance of these CF recommender systems by identifying additional measures of relationship indicators based on theories from communication...
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Recommender systems have been widely applied to assist user’s decision making by providing a list of personalized item recommendations. Context-aware recommender systems (CARS) additionally take context information into considering in the recommendation process, since user’s tastes on the items may vary from contexts to contexts. Several context-aware recommendation algorithms have been propose...
متن کاملInterpreting Contextual Effects By Contextual Modeling In Recommender Systems
Recommender systems have been widely applied to assist user’s decision making by providing a list of personalized item recommendations. Context-aware recommender systems (CARS) additionally take context information into considering in the recommendation process, since user’s tastes on the items may vary from contexts to contexts. Several context-aware recommendation algorithms have been propose...
متن کاملContextual recommender systems using a multidimensional approach
Recommender systems use the past experiences and preferences of the target users as a basis to provide personalized recommendations for them and as the same time, solve the information overloading problem. Context as the dynamic information describing the situation of items and users and affecting the user’s decision process is essential to be used by recommender systems. Multidimensional appro...
متن کاملExploiting Implicit Item Relationships for Recommender Systems
Collaborative filtering inherently suffers from the data sparsity and cold start problems. Social networks have been shown useful to help alleviate these issues. However, social connections may not be available in many real systems, whereas implicit item relationships are lack of study. In this paper, we propose a novel matrix factorization model by taking into account implicit item relationshi...
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2018
ISSN: 1870-4069
DOI: 10.13053/rcs-147-4-6