A New Paradigm of User Intention Preservation in Realtime Collaborative Editing Systems
نویسندگان
چکیده
The concept of time and ordering of events are correlated key issues in distributed computing as well as computersupported collaborative work (CSCW) systems. This paper revisits some of the assumptions that have generally been made regarding time and event ordering in distributed systems and argues that they are no longer appropriate if the goal is to faithfully preserve user intentions in CSCW systems. In particular, the following contributions are made in the context of collaborative editing systems. First, we discuss how the user intentions might be impacted when the finite duration of drawing operations are considered. Secondly, we propose that total ordering of events should give the users the right of participation instead of being solely determined mechanically by the system. Thirdly, a new concept of active whiteboard is proposed which supports various integrity constraints on objects and object groups to maintain user intentions in a more sophisticated way. Additionally, for the sake of completeness, the problem of maintaining consistency in the face of unreliable and highlatency communication channels is also covered.
منابع مشابه
A New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملیک سامانه توصیهگر ترکیبی با استفاده از اعتماد و خوشهبندی دوجهته بهمنظور افزایش کارایی پالایشگروهی
In the present era, the amount of information grows exponentially. So, finding the required information among the mass of information has become a major challenge. The success of e-commerce systems and online business transactions depend greatly on the effective design of products recommender mechanism. Providing high quality recommendations is important for e-commerce systems to assist users i...
متن کاملUse of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
متن کاملA Multi-versioning Algorithm for Intention Preservation in Distributed Real-time Group Editors
Intention preservation is an important aspect of consistency maintenance in real-time collaborative editing systems. The multi-version approach is able to preserve individual users’ concurrent conflicting intentions in a consistent way. Various multi-versioning schemes have been proposed. In this paper, a version composition algorithm is devised for a new multiversioning scheme that can preserv...
متن کاملConsistency Maintenance in Real - TimeCollaborative Graphics Editing
Real-time collaborative graphics editing systems allow a group of users to view and edit the same graphics document at the same time from geographically dispersed sites connected by communication networks. Consistency maintenance in the face of concurrent accesses to shared objects is one of the core issues in the design of these types of systems. In this article, we propose an object-level mul...
متن کامل