Query Prediction and Suggestion for Mobile Phones

Mobile web search introduces new peculiarities that were not present in the traditional web search. Nowadays users always carry modern cell phones which allow them to be permanently online wherever they go, at any time. A typical mobile web search scenario consists of a user who has an information need and is probably outdoors, so he cannot access a desktop computer easily. The required effort to type the query is too big and users get easily annoyed. This leads to the mismatched query problem, mobile queries become even shorter and more ambiguous than the same queries in a static desktop environment, and they are not able to guess accurately what the user intentions are. As a consequence the returned results are poor, and the user is forced to visit a lot of links and to navigate through several result pages in order to fulfill his information need. To cope with this problem, we propose an aid tool to simplify the query construction phase and to gather as much information as possible with the minimum user effort. The impacts of this system for the common man are to facilitate query entry through query prediction system, reduction in the number of key press, providing accurate results. Keywords-Java 2 Platform Micro Edition (J2ME)