Welcome

Anti Essays offers essay examples to help students with their essay writing.

Sign Up

Digitla Content Rccognixzer Essay

Open Document

Below is an essay on "Digitla Content Rccognixzer" from Anti Essays, your source for research papers, essays, and term paper examples.

Content


  1. Abstract……………………………………………………………………… 1

  2. Introduction…………………………………….…………………………… 2

  3. Design & Analysis…..………………………………………………………… 5

  4. Result and Conclusion………...…………………………………………...... 18


Digital Content Recommender System


  1. Abstract:


  On the Web, information is vast and users are numerous. Hence systems that aims to offer suitable information to suitable users is essential. Recommender systems have become valuable resources for users seeking intelligent ways to search through the enormous volume of information available to them.


  But nowadays, most personalization techniques on the Internet focus on developing recommender systems for physical products and only a few applications for recommending digital content have been reported and many of the ones that have consider only the similarity of content. This recommendation system would be an effort to recommend articles not only on the basis of the content similarity but also on the basis of what other users would like. This, together with user personalization would offer an advantage over traditional recommendation systems.


  This system is meant for any digital content provider (here electronic news provider) which supplies content on the Web according to predetermined categories, such as business, sports, and technology. Although I have used news articles as the database but no effort has been made to treat them as news in particular. That system would work equally well if some other digital content viz. movie spoiler database or book reviews database were used.


  I have developed a complete recommendation system on the client-server architecture model. Server side is where all the processing is performed by the administrator while on the client side the users can browse the articles and get suitable recommendations.


  Technologies used are C# programming language, ASP.NET, Microsoft Visual Studio.NET-2005, Microsoft SQL Server 2005...

Show More


Citations

MLA Citation

"Digitla Content Rccognixzer". Anti Essays. 25 Jun. 2017

<http://www.antiessays.com/free-essays/Digitla-Content-Rccognixzer-281755.html>

APA Citation

Digitla Content Rccognixzer. Anti Essays. Retrieved June 25, 2017, from the World Wide Web: http://www.antiessays.com/free-essays/Digitla-Content-Rccognixzer-281755.html