A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users
المؤلفون المشاركون
Ravi, Logesh
Vairavasundaram, Subramaniyaswamy
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-28، 28ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-03-16
دولة النشر
مصر
عدد الصفحات
28
التخصصات الرئيسية
الملخص EN
Rapid growth of web and its applications has created a colossal importance for recommender systems.
Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests.
Basically, recommender systems experience many issues which reflects dwindled effectiveness.
Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly.
Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy.
This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques.
After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction.
We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models.
Later, we have enhanced the SPTW model for group of users recommendations.
The results obtained from the experiments have been presented.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ravi, Logesh& Vairavasundaram, Subramaniyaswamy. 2016. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-28.
https://search.emarefa.net/detail/BIM-1099577
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ravi, Logesh& Vairavasundaram, Subramaniyaswamy. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-28.
https://search.emarefa.net/detail/BIM-1099577
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ravi, Logesh& Vairavasundaram, Subramaniyaswamy. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-28.
https://search.emarefa.net/detail/BIM-1099577
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099577
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر