Online information is increasing tremendously day-by-day. The search engines are often used to retrieve desired information from this web. They serve well in case of focused and to the point queries. However, the results retrieved for ambiguous queries are usually a mixture of relevant and irrelevant documents that fails to satisfy the users' information needs. The mobile web search queries tend to have higher ambiguity due to display constraints. This indicates the need of improvement in the current information retrieval systems especially for mobile web search. The paper proposes a personalized user profiling based re-ranking approach.