• Prof. Brinda Y. Pandit
• Prof. Sejal A. Bhavsar
• Prof. Archana A. Singh

The context of a user significantly influences user preferences and respectively his/her behavior. The nature and the way users are using the web today, is most exciting and explored topic now a days. Mining the user's behavior to provide pattern of the user's interest will lead to better prediction of the user's behavior and can increase user experience. Furthermore, today business emphasis on this type of information, as this can be useful in order to improve their services. In this paper we have tried to review work done in area of capturing user’s short-term behavior (on the level of a session), which indirectly enables to, predict the session end intent or the length of the session and respectively adjust generated recommendations.

User Context, Short-Term Behavior, Personalization, User Model, Session End Intent

"A Survey on Short Term Behaviour Modelling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1682-1684, July-2018, Available :http://www.jetir.org/papers/JETIRC006290.pdf

"A Survey on Short Term Behaviour Modelling", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1682-1684, July-2018, Available at : http://www.jetir.org/papers/JETIRC006290.pdf