Recommending e-learning related resources is becoming increasingly important due to higher demands of online learning systems. This paper proposes a novel text-based recommendation algorithm for those resources which is built with CNN and Latent factor model. In this model, CNN is used to predict st...
In this work, a content-based recommendation system for movie recommendation supported by a Multi-objective Evolutionary Algorithm is proposed. The proposed system takes advantage of Multi-objective optimization and uses three criteria: accuracy, diversity, and novelty of the recommendation. The system ...
Recommendation systemitem profileuser profileTF‐IDFgradient descentinduction tree algorithmdoi:10.1002/9781119711582.ch10R. BalamuraliDept. of Computer Science & Engineering IcfaiTech, IFHE Hyderabad IndiaJohn Wiley & Sons, LtdPazzani, M. and Billsus, D. (2007). Content-based recom- mendation ...
Content-based filtering (CBF) algorithms are based on a simple principle: if a user likes a particular item, they will also like similar items. The K-Nearest Neighbors (KNN) recommendation algorithm operates on this principle, leveraging the similarities between items or between users to generate ...
Development of content based book recommendation system using genetic algorithm Trend of internet, makes presentation of right content to right user will inevitably. For this purpose, recommendation systems are widely used for the area... C Aygun,O Yildiz - Signal Processing & Communication Applicatio...
The feasibility and credibility of this algorithm was proved by a comparative study. This algorithm reduced the difficulty of the issue on one hand, and provides, on the other, the new ideas and algorithms broke through the bottleneck of Content-based Recommendation. 展开 ...
N. Almalis, G. Tsihrintzis, and N. Karagiannis. Re- search and Development in Intelligent Systems XXXII: Incorporating Applications and Innovations in Intel- ligent Systems XXIII, chapter A New Content-Based Recommendation Algorithm for Job Recruiting, pages 393-398. Springer International ...
Recommendation Diversification Using Explanations recommender systemssocial content recommendationsCollaborationCultural differencesWe introduce the novel notion of {\\em explanation-based diversification} to address... Y Cong,LVS Lakshmanan,S Amer-Yahia - IEEE International Conference on Data Engineering 被引量...
Analysis and implementation of the bi-polar slope one algorithm with the content base filtering method in producing culinary place recommendations in kuningan regency The recommendation system is an analysis model to obtain recommendations that use filtering techniques to produce recommendations as desired....
Then,through an improved real-time CTR recommendation algorithm,the existing contents based on their impressions are rearranged,clicked and downloaded,then the result in mobile application market is displayed. Compared with the traditional CTR recommendation algorithm,the improved real-time CTR ...