9. A system for providing a keyword recommendation for a user to access content from a global textsite platform (GTP), comprising: a computer processor; memory storing instructions executable by the computer processor, wherein the instructions comprise: a GTP interface module configured to: obtain a first registered unique keyword, of a plurality of registered unique keywords, from a user message sent to the GTP by the user, wherein the plurality of registered unique keywords are used by a plurality of GTP users to access content from the GTP based on a text messaging service (TMS); and sending a recommended keyword to the GTP; a hybrid business rule module configured to select a keyword recommendation algorithm from a plurality of keyword recommendation algorithms based on a pre-determined selection sequence assigned to the plurality of keyword recommendation algorithms and a previously selected keyword recommendation algorithm; and an analysis module configured to analyze, using the keyword recommendation algorithm and based at least on the first registered unique keyword, a GTP usage pattern to select the recommended keyword from the plurality of registered unique keywords, wherein the GTP usage pattern comprises statistical information of the plurality of GTP users using the plurality of registered unique keywords to access content from the GTP; and a repository for storing the GTP usage pattern and the pre-determined selection sequence assigned to the plurality of keyword recommendation algorithms, wherein the GTP sends, to the user in response to the user message, a GTP message comprising a keyword recommendation that identifies the recommended keyword, and wherein the user message and the GTP message comprise a TMS message.
9. A system for providing a keyword recommendation for a user to access content from a global textsite platform (GTP), comprising: a computer processor; memory storing instructions executable by the computer processor, wherein the instructions comprise: a GTP interface module configured to: obtain a first registered unique keyword, of a plurality of registered unique keywords, from a user message sent to the GTP by the user, wherein the plurality of registered unique keywords are used by a plurality of GTP users to access content from the GTP based on a text messaging service (TMS); and sending a recommended keyword to the GTP; a hybrid business rule module configured to select a keyword recommendation algorithm from a plurality of keyword recommendation algorithms based on a pre-determined selection sequence assigned to the plurality of keyword recommendation algorithms and a previously selected keyword recommendation algorithm; and an analysis module configured to analyze, using the keyword recommendation algorithm and based at least on the first registered unique keyword, a GTP usage pattern to select the recommended keyword from the plurality of registered unique keywords, wherein the GTP usage pattern comprises statistical information of the plurality of GTP users using the plurality of registered unique keywords to access content from the GTP; and a repository for storing the GTP usage pattern and the pre-determined selection sequence assigned to the plurality of keyword recommendation algorithms, wherein the GTP sends, to the user in response to the user message, a GTP message comprising a keyword recommendation that identifies the recommended keyword, and wherein the user message and the GTP message comprise a TMS message. 12. The system of claim 9 , wherein the analysis module is further configured to: generate a user specific usage pattern of the user using the plurality of registered unique keywords to access content from the GTP, wherein the GTP usage pattern further comprises the user specific usage pattern, wherein analyzing the GTP usage pattern comprises: determining, based on the user specific usage pattern, a user specific similarity measure between at least the first registered unique keyword and a second registered unique keyword of the plurality of registered unique keywords, wherein the user specific similarity measure represents similarity between usage levels of at least the first registered unique keyword and the second registered unique keyword used by the user; and selecting, in response to the user specific similarity measure meeting a pre-determined criterion, the second registered unique keyword as the recommended keyword.