نتایج جستجو برای: aware recommender system

تعداد نتایج: 2287766  

Journal: :Mathematical Problems in Engineering 2019

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2017

Journal: :Journal of Organizational and End User Computing 2021

Most recommender systems usually combine several recommendation methods to enhance the accuracy. Collaborative filtering (CF) is a best-known personalized technique. While temporal association rule-based algorithm can discover users' latent interests with time-specific leveraging historical behavior data without domain knowledge. The concept-drifting and user interest-drifting are two key probl...

2014
Chun Lu Philippe Laublet Milan Stankovic

In this paper we propose a new approach for improving the personalization of POIs recommender system. Existing context-aware POIs recommender systems usually take into account only peripheral contextual variables. We present Ricochet, an ontology-based system that refines the recommendation results by implementing an inter-POI parameter that we call the “complementarity”. We show how this new p...

Journal: :International Journal of Advanced Computer Science and Applications 2022

Unlike traditional recommendation systems that rely only on the user's preferences, context-aware (CARS) consider contextual information such as (time, weather, and geographical location). These data are used to create more intelligent effective systems. Time is one of most important influential factors affect users’ preferences purchasing behavior. Thus, in this paper, time-aware investigated ...

Journal: :DEStech Transactions on Engineering and Technology Research 2016

2014
Thorben Keller Markus Koehler Stefanie Turber

Context aware product recommender systems are an ongoing field of [1]. Contextual information in this case can for example be the customer’s mood, her age, or place of interaction between the recommender system and the user. The well-established pervasiveness of smartphones even allows to extend a customer's context by location (e.g. [2]) which is easily derived using GPS or WiFi. As soon as th...

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