In EverMatch system we exploit social networks technology to provide and improve service provided from current social networks usual website systems and make user obtain useful services without need exhausting search, and enable user to meeting people with shared experience and skills to build relation with to make him identify market and increase their experience , and enable user to easily shopping and follow lots of store to obtain their products updates and make user familiar with needs of the market in his/her domain , when you use EverMatch you can build your profile as electronic CV and will receive suitable jobs and can apply job to easily join companies and you can search for any products, and people .
EverMatch has recommendation system that provide important functionality for users of EverMatch , recommendation system algorithms make the system differs from other system it filter and recommend suitable needs for users since it recommend suitable people with shared skills and experience and recommend suitable jobs ,companies, stores, and products it make user easily arrive for suitable needs to reduce time of search and make user identify professionals in his/her domain, it close you into companies and increase your chance to find suitable job.
EverMatch provide post filtering algorithm to dynamically filter user posts that share, since this algorithm filter post into suitable category to arrive for public and easily advertise for anything, user can suggest new category to filter post, any category contain sell, buy products and request jobs posts .