Content Rewriter

Would love to work on this project. Please check PMB for details. Regards, Irina

Hello there. It is my pleasure to bid here. Kindly check your PM for more details of this bid. Thanks.

Please see pmb. Thanks. Lloyd

Hello Sir, Please check the inbox for the details of my bid. Regards, Providern

please read pm

Hi, Am willing to work on it. Kindly see the PM. Thanks

Please see my private message as I'm unsure of your rewrite needs as to volume of articles and time frames. After 5 years full-time freelancing, I've learned to strive for total team relationships with my clients. You'll be happy and so will I. Thanks. Bill Pirraglia Eagle Creative Group

WE are interested to work on monthly basis. Thanks, William.

I'm ready to start right now. The bid price and time are negotiable.

I am an electrical engineer from best engineering college in India. I certainly know the best way to do this thing.

check PMB Regards

have similar exp in article writing in MS word for an company. The job was to extract various information from the company's website and also for the data provided bt the company and write an article based on that. The articles are on various worldwide companies. I have researched more than 100+ article. I am also working and worked on Odesk on similar jobs on article writing. Let me know if you need an sample copy of a article.

I am interested in Content Rewriter position. I will put experience in separate e-mail.

Dear sir, please offer me the project . I will do my best. Thank you.

i am confident enough ad a marketing graduate to complete the task for you.

I can do it please check PM

Hi sir,I can do you work with accuacy and within time,

hello, it would be my pleasure to help you out with your blog; i would be happy if you would give me that opportunity... thank you

I will work on rewriting the articles for you. I am operating over 10 blogs for myself and doing the same job what you are requiring so I am capable of doing this job very nicely.

The architecture presented below in Fig. 1 shows the overall architecture of Enhanced Trustworthy and High-Quality Information Retrieval System for Web Search Engines [1] with Load Shedder incorporated to handle overload conditions. The user enters the search query and also selects WIQA Quality Policies in the web search engine user interface. The Searcher retrieves the corresponding search results from the database. The resultant URLs are given to the Load Shedder. The Load Shedder implements the Optimal Load Shedding Algorithm presented in section 5. The Load Shedder calls the Trust Evaluator which calculates the trustworthiness value for each of the retrieved URL. All the URLs are filtered based on the calculated trustworthiness values. The filtered URLs are then given to the Quality Sub- System, which stores the URLs in the Named Graphs. The quality level for each URL is calculated based on three metrics – Content, Context and Ratings. These metrics are decided based on the policies initially selected by the user. The Decision Maker finally calculates the quality level for each URL by giving a weight factor to the three metrics. Finally the user receives Trustworthy and High-Quality information from the web search engine.