Abstract: Processing an electronic order involves receiving from a mobile customer device first order data for an order that contains less than a minimum set of data required by a merchant to completely process the order. Additional information required by the merchant to completely process the order is retrieved. Second order data is generated based upon the first order data and the additional information. The second order data contains at least the minimum set of data required by the merchant to completely process the order. The second order data is provided to a merchant for processing.

Abstract: The invention relates to coupon information (e.g., actual coupons, links to coupon, and information related to one or more coupons) that may be selectively displayed based on an association with search terms for an internet-based search. If a user, for instance, submits a search request to an internet-based search engine, the search engine may process the request and provide the search results, but, in addition, a coupon engine may perform a separate search to determine the availability of coupons relating to the search (e.g., based on one or more search terms, one or more of the search results, or other criteria). Available coupons (or coupon information) may then be displayed with, or separately from, the general internet search results.

Abstract: Processing an electronic order involves receiving from a mobile customer device first order data for an order that contains less than a minimum set of data required by a merchant to completely process the order. Additional information required by the merchant to completely process the order is retrieved. Second order data is generated based upon the first order data and the additional information. The second order data contains at least the minimum set of data required by the merchant to completely process the order. The second order data is provided to a merchant for processing.

Abstract: A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.

Abstract: A computer-implemented approach for organizing input listings from various sources of input listings. Input listings are organized by mapping the input listings to consolidated listing that correspond to the input listings. The mapping of the input listings are based on various techniques such as a Stock Keeping Unit item-listing-to-consolidated-listing matching technique, a name/title item-listing-to-consolidated-listing matching technique, and a model item-listing-to-consolidated-listing matching technique.

Abstract: A method and apparatus for distributing, generating, and redeeming discount Virtual Coupons™, rebate or gift certificates or the like which may be used on conjunction with a frequency card program or the like. Virtual Coupons™ may be distributed electronically, for example, in the form of a diskette or CD-ROM software. Software on the diskette or CD-ROM may prompt a consumer to call a 1-800 number for a validation number or code. During the phone call, telemarketing personnel may request consumer demographic and or identification information which may be entered into a centralized database. Once the software is validated, a consumer may print out a list selected Virtual Coupons™ displayed on a Graphical User Interface (GUI). When a product is purchased, the UPC code of the product may be compared electronically with a list of Virtual Coupons™ authorized for a particular consumer.

Abstract: A computer-implemented approach for processing search queries generally involves normalizing names and descriptions of items. The various forms of a name or description of an item is referred to as an item name variant. The normalized form of the name or description of an item is referred to as a normalized item name. Item name variants that are similar are grouped together to form clusters. Each cluster of item name variants is mapped to a normalized item name. A dictionary of normalized item names are created by storing: 1) the item name variant, 2) the information that is obtained from the item name source and which is associated with the item name variant, and 3) the mapping information that maps the item name variant to the corresponding normalized item name.

Abstract: An approach for presenting search results using dynamic categorization involves examining search results and dynamically establishing one or more categories of search results based upon attributes of the search results. A variety of grouping or clustering techniques may be used to dynamically establish the categories of search results. The categories of search results are then presented using category indicators.