Personalised Blog Recommendation System (PBRS)
نویسندگان
چکیده
منابع مشابه
The Blog-article Recommendation System(BARS)
According to Technorati’s [1] 2007 report, the blog sites is up rising to 72 millions and the popularity of blogers has drawn many attention. This phenomenon has turned many web users into bloggers. The vast amount of blog information also brings the phenomenon of information overloading which is not handled by the blog function yet. In addition, the personalized recommendation service, which s...
متن کاملPersonalised Tag Recommendation
Personalised tag recommenders are becoming increasingly important since they are useful for many document management applications including social bookmarking websites. This paper presents a novel approach to the problem of suggesting personalised tags for a new document to the user. Document similarity in combination with a user similarity measure is used to recommend personalised tags. In cas...
متن کاملExperience-Based Recommendation for a Personalised e-Learning System
A large amount of learning resources is available to learners on the Web. Users of these resources are often discouraged by the time spent in finding and assembling relevant resources to support their learning goals, and these users often face the information overload problem [4]. Personalisation within e-learning would allow the learning abilities and preferences of individual learners to be t...
متن کاملA Personalised Recommendation System for Context-Aware Suggestions
The recently introduced TREC Contextual Suggestion track proposes the problem of suggesting contextually relevant places to a user visiting a new city based on his/her preferences and the location of the new city. In this paper we introduce a more sophisticated approach to this problem which very carefully constructs user profiles in order to provide more accurate and relevant recommendations. ...
متن کاملRecommendation in Personalised Peer-Learning Environments
Recommendation in Personalised Peer Learning Environments (RiPPLE) is an adaptive, crowdsourced, web-based, student-facing, open-source platform that employs exemplary techniques from the fields of machine learning, crowd-sourcing, learning analytics and recommender systems to provide personalised content and learning support at scale. RiPPLE presents students with a repository of tagged multip...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017913713