Reverse Engineering Web Pages For User-Centric Ubiquitous Learning
نویسنده
چکیده
The researcher had leveraged on the technological and social affordances of mobile phones in Nigeria and the reverse engineering of application software to enhance users education and learning by developing a user-centric ulearning model. This paper described the research experiences of designing a model of user interface adaptation to the individual user’s situation. The author identified that migrating the user interface of a ubiquitous mobile learning system to another device is problematic because many programming languags, markup scritping languages aqnd computing platforms exist for different user interfaces and that each one of these also has its own set of constraints. Using the techniques of reverse engineering, the researcher obtained a presentation model of a ulearning system and renders same according to the individual user’s situation.
منابع مشابه
Web pages ranking algorithm based on reinforcement learning and user feedback
The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. In this paper, a ranking algorithm based on the reinforcement le...
متن کاملبهینهسازی اجرا و پاسخ صفحات وب در فضای ابری با روش‌های پیش‌پردازش، مطالعه موردی سامانه‌های وارنیش و انجینکس
The response speed of Web pages is one of the necessities of information technology. In recent years, renowned companies such as Google and computer scientists focused on speeding up the web. Achievements such as Google Pagespeed, Nginx and varnish are the result of these researches. In Customer to Customer(C2C) business systems, such as chat systems, and in Business to Customer(B2C) systems, s...
متن کاملA Technique for Improving Web Mining using Enhanced Genetic Algorithm
World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the methods for web mining is evolutionary algorithms which search according to the user interests...
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 New Hybrid Method for Web Pages Ranking in Search Engines
There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012