The aim of this study is to propose a novel semantic content-based recommender
system utilizing learners' negative ratings in an e-learning discussion forum.
systems for supportive technologies," User Modeling and Adaptation for Daily Routines, pp.
systems, in Recommender
They are used widely in the evaluation of previous trust-aware recommender
Future work in this area includes the development of a multivariable flash flood recommender
algorithm that weights different inputs from the MRMS and FLASH product suites and the eventual use of proposed warning polygons based on gridded flash flood probabilities within the FACETs paradigm.
Following the success of these, the RecSys Challenge (5) is a yearly competition organized in conjunction with the ACM Conference on Recommender
The advantage of the collaborative filtering among other recommender
systems, its recommended different items from what the user already knows.
One of the successful model based CF in recommendation system has been matrix factorization (also, known as SVD) which addresses the problem of recommender
system, also referred as state-of-art in recommender
system (Cremonesi, Koren, & Turrin, 2010; Jawaheer, Weller, & Kostkova, 2014; Konstan & Riedl, 2012).
Here, dishonest recommender
falsely shares decreased trust value of "evaluated node" to the "evaluating node".
presented two different approaches for building hybrid collaborative content recommender
systems to overcome the new item issue .
These knowledge management systems have recorded information for implementing a recommender
Data envelopment analysis, Evaluation, Metrics, Multi-criteria decision making, Recommender
The relationship between consumer psychology and recommender
systems, more specifically how implementing a consumer psychology model can improve recommender
system performance is described by Tomer in his paper "Implications of Perceived Utility on Individual Choice and Preferences: A New Framework for Designing Recommender
Through the ongoing integration of Mendeley with Elsevier's existing platforms, Newsflo's media monitoring feature will become an integrated part of the workflow of researchers publishing with Elsevier, along with tools such as the Article Recommender
The significance of the recommender
systems has been outlined in very large number of texts and literature.