Predicting Student Success in Courses via Collaborative Filtering Journal title: International Journal of Intelligent Systems and Applications in Engineering Authors: Ali Cakmak| Department of Computer Science, Istanbul Sehir University, Kusbakisi Cad. No: 27, 34662,... Subject(s): Engineering, Nanotechnology
A New Effective Subject Extraction for Travel Package Suggestions Journal title: International Journal of Science Engineering and Advance Technology Authors: Kurapati Kiran Kumar| Final M Tech Student, Department of Computer Science and Engineering, Gudlaval... Subject(s): Engineering, Medicine, Social Sciences, Pharmacy
slugImproved Item Based Collaborative Filtering for Personalised Recommendation Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: I.Jenitta Magdalene, Rebecca Sandra Subject(s): Engineering, Applied Linguistics
slugPersonalized Web Search Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Miss. Ashna Sayyad, Miss. Akshada Gaikwad, Miss. Rupali Khule, Miss. Bhavana Deoker Subject(s): Engineering, Applied Linguistics
Cloud Based Mobile Video Recommendation System with User Behaviour Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Ms. Latika R. Gaddam, Mrs. Pratibha S. Yalagi Subject(s): Engineering, Applied Linguistics
An Intelligence Based E-learning Frame Work Based on User Preference Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Gogula Bharathi. P, Gopalakrishnan. T Subject(s): Engineering, Applied Linguistics
Review: Recommender System Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Diksha Nagpal, Deepanshu Garg Subject(s): Engineering, Applied Linguistics
Improving Trust on Recommendation models using the PCA Recommend based Iterative Analysis against the User trust and Item Rating Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Mr. P. Vijayakumar, Miss. A. Vinodhini Subject(s): Engineering, Applied Linguistics
PCA-Recommend: Increasing Trust on Recommendation models using the Similarity prediction on User rating and Item Rating Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Mr. A. Venugopal, Ms. Srishti Janawa Subject(s): Engineering, Applied Linguistics
Survey on Recommendation Systems Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Avadhut D. Wagavkar, Shubhangi S. Vairagar Subject(s): Engineering, Applied Linguistics
An Incremental-And-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: K. P. Ashvitha, B. Jerlyn Flora, S. Apoorva, D. Lakshmi Subject(s): Engineering, Applied Linguistics
Service Objective Prediction via Sentimental System on Multi-Source Big Social Network Journal title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) Authors: Mr. B. Aravind, Mr. R. Muralidharan, Mr. B. Jehan, Ms. D. Mahalakshmi Subject(s): Engineering, Applied Linguistics
A Novel Model and Efficient Topic Extraction for Travel Package Recommendation Journal title: International Journal of Research in Computer and Communication Technology Authors: Villa Satya Dhanumjaya, Aruna Rekha Gollapalli Subject(s): Computer and Information Science, Telecommunications
Exploiting Rating Abstention Intervals for Addressing Concept Drift in Social Network Recommender Systems Journal title: Informatics Authors: Dionisis Margaris and Costas Vassilakis Subject(s): Arts and Literature, Medicine, Information Science, Management Science
Exploiting Past Users’ Interests and Predictions in an Active Learning Method for Dealing with Cold Start in Recommender Systems Journal title: Informatics Authors: Manuel Pozo, Raja Chiky, Farid Meziane and Elisabeth Métais Subject(s): Arts and Literature, Medicine, Information Science, Management Science