Conventional recommendation systems either use content based or collaborative filtering based approaches to model user preferences and give recommendations. These systems usually fail to consider evolving user preferences in different contextual situations. Context Aware Recommendation Systems take different ...
Furthermore, we introduce three different algorithmic paradigms – contextual prefiltering, post-filtering, and modeling – for incorporating contextual information into the recommendation process, discuss the possibilities of combining several contextaware recommendation techniques into a single unifying approach...
Contextual Post-Filtering:the contextual information acquired is initially ignored by proceeding with a classic recommendation approach; it will be used for a final filtering of the recommendations obtained. The context can be imagined as a function that modifies the value of the utility functionr $$...
Privacy protection is one of the key concerns of users in recommender system-based consumer markets. Popular recommendation frameworks such as collaborativ... A Waqar,K Rajesh,Z Deng,... - 《Computer Journal》 被引量: 0发表: 2021年 Context-Aware Recommender Systems for Social Networks: Review...
This paper also introduces a prototype of a context-aware recommendation system using the method, and evaluates our proposed methods. In our experiments, we explore the strengths and weaknesses both Context-Aware Information Filtering and Context-Aware Collaborative Filtering. Lastly, we discuss ...
DiSA-CF: A distance-integrated self-attention model for collaborative filtering in web service recommendation The ubiquity of the Internet of Things (IoT) across diverse applications underscore its pivotal role in seamlessly integrating physical devices to facilita... M Alinia,SMH Hasheminejad - 《Expe...
Our experimental evaluation suggests that our system can help produce better recommendations in comparison to a conventional recommender system based on collaborative or content-based filtering. Furthermore, the topic modeling approach proposed here is also useful in providing better insight into the ...
Context-Aware Ranking Method for Information Recommendation Previously, we proposed two recommendation systems—context-aware information filtering (C-IF) and context-aware collaborative filtering (C-CF)—both of which are context-aware recommendation methods. W K Oku,S Nakajima,J Miyazaki,... - Spri...
A recommender system is an information filtering technology that can be used to recommend items that may be of interest to users. In their traditional form, recommender systems do not consider information that might enrich the recommendation process, as contextual information. In this way, we have...
digms–contextualpre-filtering,post-filtering,andmodeling–forincorporating contextualinformationintotherecommendationprocess,discussthepossibilities ofcombiningseveralcontext-awarerecommendationtechniquesintoasingleuni- fyingapproach,andprovideacasestudyofonesuchcombinedapproach.Finally, ...