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Typically, recommendation systems are used for increasing users' activity and spending. Most of them select a recommendation from a finite set of objects (e.g. News, products etc.) but in some cases the number of objects is so huge that standard approach based on similarity of objects will not work. The paper presents recommendation algorithms which work with an almost infinite set of websites by...
In this paper we explore the feasibility of conducting software training in a peer learning context with the aid of student-produced screen casts. Three case studies were conducted to collect data. Wikispaces and Screencast-O-Matic were used during software training sessions to support peer learning in three Information Systems and Technologies (IST) courses. Screen casts were produced by students...
In the last twenty years, the evolution of web systems has been driven along three dimensions: the processes used to develop, evolve, maintain and re-engineer the systems themselves; the end products (the pages, content and links) of such processes; and finally the people dimension, with the extraordinary shift in how developers and users shape, interact and maintain the code and content that they...
A casual network security monitoring system is proposed in this paper. The system is easy to deploy without reconfiguring the central network infrastructure, the firewall, and the intrusion detector system (IDS) of an organization. A virus-infected host, which is hidden by the network address translator (NAT) of a sub LAN, can be identified easily by using this monitoring system with the IDS. This...
A prototype system of electronic map interactive Web site from which data information of multi-dimension and multi-layer about the map information from 17 century to 19 century of China can be displayed and obtained has been studied, designed and practiced based on the techniques of Ajax and plug-in components ZoomMap. The functions of ZoomMap are expanded combining with an asynchronous communication...
Calculating the similarity of Wikipedia articles in different languages is helpful for bilingual dictionary construction and various other research areas. However, standard methods for document similarity calculation are usually very simple. Therefore, we describe an approach of translating one Wikipedia article into the language of the other article, and then calculating article similarity with standard...
The use of Web 2.0 technologies is increasingly common in many aspects of life: social, work, and study. The study reported here looks into how one type of Web 2.0 tool, the wiki, was being used to support groups of IT students involved in a collaborative authentic-task in their undergraduate studies to develop a software solution required by their "clients". The study indicates the existence...
Virtual enterprise (VE) is such an effective and collaborative way for today's enterprise to jointly face the great pressures from quickly growing globalization and world-wide market competition. In order for enterprises to quickly form a VE and perfectly achieve interactions among the VE's members, a conceptual model based-on enterprise core capability and an agent-based architecture are proposed...
This paper proposes that Wikipedia can effectively be used in order to lessen the negative effects of data sparsity on the accuracy of recommendations produced by Recommender Systems, provided that domain resources available for recommendation can successfully be mapped to Wikipedia articles. Under the assumption that hyperlinks between Wikipedia articles convey latent semantic relationships between...
To take advantage of the Internet - vast but complicated information resources, Recommendation systems help users find out information they need by providing them personalized suggestions. This research area is receiving more and more attention from researchers and used in some famous websites like EBay, Amazon, etc. In this paper, we proposed a Recommendation System for Vietnamese electronic newspaper...
The first phase of the conceptual modeling process is the acquisition of knowledge about the real world system. One issue in this phase is the need for clear communication, between the modeler, and experts on the system being examined. These domain experts may not be versed in modeling techniques or languages. Another issue is the potential benefit offered by the recording of the gathered knowledge,...
The use of domain knowledge is generally found to improve query efficiency in content filtering applications. In particular, tangible benefits have been achieved when using knowledge-based approaches within more specialized fields, such as medical free texts or legal documents. However, the problem is that sources of domain knowledge are time consuming to build and equally costly to maintain. As a...
Most of the traditional text classification methods employ Bag of Words (BOW) approaches relying on the words frequencies existing within the training corpus and the testing documents. Recently, studies have examined using external knowledge to enrich the text representation of documents. Some have focused on using WordNet which suffers from different limitations including the available number of...
Recently, many messages are submitted and read using microblog Web services, such as twitter, face book, and others. These messages are written by unspecified users, these messages consists of unreliable contents. Therefore, to specify which contents are reliable or not, we should analyze messages. However, these messages are too short, we are hard extract meaningful, useful features from these messages...
A majority of web personalization research concentrates on customizing a single website. On the contrary, recommending web pages across websites is the focus of this study. We emphasize that eliciting user interests among different topics within a domain is an important concern in cross-website page recommendations. Enhancing Wikipedia's categorization system through heuristic information extraction,...
Vandalism is a main problem of the Wikipedia and other content management systems that have open-edit policy. Due to its popularity, Wikipedia has been attacked very regularly. To detect and clean up these bad contents, it requires a lot of human time to inspect the changes between revisions which should not be much wasted for such task. There have been many attempts to alleviate vandalisms. Some...
As an emerging area in information retrieval, question answering aims at retrieving answers to user-posted questions from a given sentence collection or text corpus. In question answering, the queries are usually submitted in the form of short sentences which are unable to represent user intentions sufficiently. In this study, we present a novel framework which improves question answering through...
In this paper the authors suggest an novel approach that uses Wikipedia to measure the semantic relatedness between Chinese named entities, such as names of persons, books, softwares, etc. The relatedness is measured through articles in Wikipedia that are related to the named entities. The authors select a set of ''definition words'' which are hyperlinks from these articles, and then compute the relatedness...
In recent days more and more software developments tools become distributed by the SaaS (Software-As-A Service) model alongside with ready-to-install products. The developers of task and bug tracking systems now offer their solutions by a monthly fee. For instance, JIRA Studio produced by Atlassian can be connected to a corporative domain by subscription. This scheme allows software companies to reduce...
In this study we analyse the structure of a particular form of collective decision-making in Wikipedia, i.e. decisions regarding content inclusion and deletion. Wikipedia's official guidelines require that only topics that meet "notability" standards be included with a dedicated article. Decisions as to whether a topic is "notable" are made by groups of self-appointed reviewers,...
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