Abstract: A technique for providing one or more keywords associated with a document (such as a web page) is described. In this technique, a set of user-selected keywords and a specification of a market segment associated with the document are received from a user. In response, a set of similar keywords (which can include one or more of the set of user-selected keywords) is determined based on the user-selected keywords. Furthermore, a market-specific set of keywords (which can also include one or more of the set of user-selected keywords and/or the set of similar keywords) is selected based on the set of similar keywords by using keywords for documents that are associated with other users in the market segment. Then, at least a subset of the set of market-specific keywords is provided to the user.

Abstract: To facilitate security, locations of a portable electronic device may be tracked during a time interval. These tracked locations are then used to determine a location pattern, and the location pattern is used to estimate one or more secure locations. Then, when a user accesses financial information using the portable electronic device, the security level is determined based on a current location and the one or more secure locations.

Abstract: A system and method for utilizing location data for automatic categorization of financial transactions utilizes data indicating a user's location at various times, and mapping databases, including mapping and/or merchant websites, to determine a likely merchant payee associated with a financial transaction and the products sold by that merchant payee. This data is then used to determine, at least in part, a financial category to be assigned to the financial transaction.

Abstract: An optical image of a check is obtained at the approximate time of a check-based financial transaction and the approximate time of the check-based financial transaction is recorded. Geographical position/location data and/or voice memo data is then obtained at, or about, the time the optical image of the check is obtained. Optical Character Recognition (OCR) technology is then used to extract image-based financial transaction data from the optical image of the check and the geographical position/location data, and/or voice memo data, is also transformed into financial transaction data associated with the check and the check-based financial transaction. The extracted and/or transformed financial transaction data is then used, at least in part, to automatically assign a financial category to the check-based financial transaction and/or transform the category status of the check-based financial transaction.