In this paper, we introduce YEDDA, a lightweight but efficient and comprehensive open-source tool for text span annotation. YEDDA provides a systematic solution for text span annotation, ranging from collaborative user annotation to administrator evaluation and analysis. It overcomes the low efficiency of traditional text annotation tools by annotating entities through both command line and sho...

abstractthe present study attempted to investigate the impact of cooperation versus collaboration on college students` reading ability. to fulfill the purpose of the study, 90 participants were chosen from among 140 by means of administering the nelson proficiency test. they were divided into three groups: cooperative group, collaborative group, and control group. a fifty-item multiple-choice r...

Cloud computing is the hot topic in recent years, and the cloud-based collaborative service is the emerging service. No matter where the users are or which computers the users use, it enables the cloud users to place their data into the cloud. As long as it connects to the Internet, it can store and get the data placed in the cloud. In the collaborative service situation, it can allow other clo...

1 Abstract The growth of world wide web has dramatically changed our lives. Diierent tools and new techniques based on the world wide web make it possible to perform various collaborative processes and businesses: internet chatrooms, internet phones, video conferences, internet classrooms, and now electronic commerces, etc. Various research and projects have been done regarding how to surf the ...

Collaborative tagging is one of the most popular services available in social networks, and it allows user to classify either online or offline resources based on their feedback, deliver in the form of tags. Although tags may not be secret information the wide use of collaborative tagging services increases the risk, thereby seriously compromising user privacy. In this paper, we make a contribu...

Video recommendation has become an essential way of helping people explore the video world and discover the ones that may be of interest to them. However, mainstream collaborative filtering techniques usually suffer from limited performance due to the sparsity of user-video interactions, and hence are ineffective for new video recommendation. Although some recent recommender models such as CTR ...

Despite of success in both research and industry, traditional collaborative filtering (CF) based recommender systems suffer from a fundamental problem, which lies in its dependence on users’ numeric ratings as its sole source of user preference information. User ratings are often unable to fully represent user preferences. As a result, it is difficult and error prone to identify genuinely simil...

P studies investigating business-to-consumer e-commerce have focused predominantly on online shopping by individuals on their own, although consumers often desire to conduct their shopping activities with others. This study explores the important, but seldom studied, topic of collaborative online shopping. It investigates two design components that are pertinent to collaborative online shopping...

Collaborative learning in computer-supported learning environments typically means that learners work on tasks together, discussing their individual perspectives via text-based media or videoconferencing, and consequently acquire knowledge. Collaborative learning, however, is often sub-optimal with respect to how learners work on the concepts that are supposed to be learned and how learners int...