Conceptual model for obfuscated TRUST induced from web analytics data for content-driven websites

Besides e-commerce, infobahn has become an imperative mediocre to provide significant content on services such as academics, medical, legal, relationships, meteorological, general knowledge, etc. to users in a judicious manner. To fascinate additional users to various content providers on the Web, it is essential to build a relationship of trust with them by meritoriously achieving online content optimization by estimating content items' attractiveness and relevance to users' interests. But more than building, the long term sustenance of TRUST is necessary to bind users with the website forever. The perseverance of the present study is to contribute in the effective measurement of TRUST evolved and maintained for Web mediated Information Exchange (W-MIE) or content websites over a long run.