Analysis of User Behavior on MultilingualTagging of Learning Resources

نویسندگان

  • Riina Vuorikari
  • Xavier Ochoa
  • Erik Duval
چکیده

Although social, collaborative classification through tagging has been the focus of recent research, the effect of multilingual tags is often overlooked. This work presents an early exploratory study of the production and consumption of multilingual tags in a European educational K-12 context. The data, produced by teachers bookmarking and tagging learning resources during three month period, was analysed. Thereafter, a focus group of teachers evaluated a sample of learning resources with metadata records containing both thesaurus terms and multilingual tags. The results of this early study suggest that some tags are found as useful as thesaurus terms and that users are divided about the benefits of multilingual tags. As some tags are useful for some users, “hiding all but the right tags” becomes crucial for the success of a multilingual collaborative tagging system.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bandwidth and Delay Optimization by Integrating of Software Trust Estimator with Multi-User Cloud Resource Competence

Trust Establishment is one of the significant resources to enhance the scalability and reliability of resources in the cloud environment. To establish a novel trust model on SaaS (Software as a Service) cloud resources and to optimize the resource utilization of multiple user requests, an integrated software trust estimator with multi-user resource competence (IST-MRC) optimization mechanism is...

متن کامل

Similarity measurement for describe user images in social media

Online social networks like Instagram are places for communication. Also, these media produce rich metadata which are useful for further analysis in many fields including health and cognitive science. Many researchers are using these metadata like hashtags, images, etc. to detect patterns of user activities. However, there are several serious ambiguities like how much reliable are these informa...

متن کامل

Analysis of User query refinement behavior based on semantic features: user log analysis of Ganj database (IranDoc)

Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis.    Methods: The method of this research is log anal...

متن کامل

Intellectual Structure of Knowledge in Information Behavior: A Co-Word Analysis

Background and Aim: The intellectual structure of knowledge and its research front can be identified by co-word analysis. This research attempts to reveal the intellectual structure of knowledge in information behavior inquiries, via co-word, network analysis, and science visualization tools. Methods: Bibliometric methodology and social network analysis are used. Population comprises 2146 recor...

متن کامل

Improving the performance of recommender systems in the face of the cold start problem by analyzing user behavior on social network

The goal of recommender system is to provide desired items for users. One of the main challenges affecting the performance of recommendation systems is the cold-start problem that is occurred as a result of lack of information about a user/item. In this article, first we will present an approach, uses social streams such as Twitter to create a behavioral profile, then user profiles are clusteri...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007