System and Method for Mirroring recipient of information via Web 2.0 systems.

System and Method for Mirroring recipient of information via Web 2.0 systems.

When writing an email to a person one is not directly familiar with, it is often possible to alienate oneself without realizing it. Subtle changes in language and interests can invoke negative responses from recipients, dependent upon locale, personal interests, etc.

    For example a computer person may use terminology that another person wouldn't. Writing something like "The cake is a lie" may mean something to the computer person, but to an everyday person it may just lead to confusion. Or a sentence like "My food is problematic" would unconsciously provoke a positive response from a firefly fan when used in the context to explain something is causing problems. Things such as "riding shotgun" (in the US, meaning to sit in the front passenger seat of a vehicle) might seem completely foreign to someone just learning English or in a different country.

    Existing systems of Mirroring software currently only use standard NLP practises like writing visual/audio/aural in response to a user's input. It doesn't factor in knowledge from other sources or friends/peers who the user may look up to.

    This article describes a means to allow the author of an email or document system to have sections of text rewritten or suggestions to context based on the data shadow of the recipient. The purpose of this is to create a system of text based " Mirroring". This allows one to mimic common interests, sentence structure, terminology or word and phrase choice of the receiver of the document in order to build a rapport.

    The data shadow is generated by use of the social based knowledge of the recipient. This data could be drawn from several sources, such as Blogs, Wikis, Forums, Articles, etc, and any of the sites the user may be directly or indirectly be linked to. Keywords can be drawn from these profiles and postings to determine a user's interests. The user's locale and age can also be brought into consideration, as there are various dialects and differences in language use between generations. It also determines what similar areas overlap and uses those first as a choice to mirror.

    The system can be configured to be subtle in this mirroring and to determine the positive/negative context of what one may mirror. For example, the receiver may often start sentences with "Anyway" ( >1 per document) when writing a positive related material. The system may determine for the amount of text that one has that to only mirror this in one paragraph that is key to the positive message one wants to get across. Also factors in how many times one has mirrored or should mirror to determine if the text would illicit a negative response.

    The system can also be used to "wind down". For example while initial contact may help to mirror, later on as the receiver gets to know one it is better to wind down from exact mirroring so the person gets used to one's per...