Abstract: A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Abstract: A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Abstract: A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Abstract: A mechanism is provided for matching an address to an optimal station for package delivery. Responsive to the at least one keyword k appearing in a substring of an address addr associated with a package to be delivered appearing in a keyword to station probability matrix associated with a city and/or district associated with the address addr associated with the package, for a set of keywords k in the substring of the address addr and station s of the city and/or district, a determination is made of a priority value function v that represents the priority of the combination of keyword k and station s. A critical keyword k* and optimal station s* is identified and the optimal station s* with a maximum determined value for delivery of the package is reported.

Abstract: A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Abstract: A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Abstract: A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Abstract: Physical location information for a specified user is corrected according to vehicle location and trajectory analysis. Vehicles, such as delivery vehicles, produce physical location information for the vehicle during delivery events to the specified user and a surrounding physical area. The physical location information for the vehicle is accessed to correct erroneous physical location information for the specified user.

Abstract: Physical location information for a specified user is corrected according to vehicle location and trajectory analysis. Vehicles, such as delivery vehicles, produce physical location information for the vehicle during delivery events to the specified user and a surrounding physical area. The physical location information for the vehicle is accessed to correct erroneous physical location information for the specified user.

Abstract: A mechanism is provided for matching an address to an optimal station for package delivery. Responsive to the at least one keyword k appearing in a substring of an address addr associated with a package to be delivered appearing in a keyword to station probability matrix associated with a city and/or district associated with the address addr associated with the package, for a set of keywords k in the substring of the address addr and stations of the city and/or district, a determination is made of a priority value function v that represents the priority of the combination of keyword k and station s. A critical keyword k* and optimal station s* is identified and the optimal station s* with a maximum determined value for delivery of the package is reported.

Abstract: Physical location information for a specified user is corrected according to vehicle location and trajectory analysis. Vehicles, such as delivery vehicles, produce physical location information for the vehicle during delivery events to the specified user and a surrounding physical area. The physical location information for the vehicle is accessed to correct erroneous physical location information for the specified user.

Abstract: Physical location information for a specified user is corrected according to vehicle location and trajectory analysis. Vehicles, such as delivery vehicles, produce physical location information for the vehicle during delivery events to the specified user and a surrounding physical area. The physical location information for the vehicle is accessed to correct erroneous physical location information for the specified user.

Abstract: Physical location information for a specified user is corrected according to vehicle location and trajectory analysis. Vehicles, such as delivery vehicles, produce physical location information for the vehicle during delivery events to the specified user and a surrounding physical area. The physical location information for the vehicle is accessed to correct erroneous physical location information for the specified user.

Abstract: Physical location information for a specified user is corrected according to vehicle location and trajectory analysis. Vehicles, such as delivery vehicles, produce physical location information for the vehicle during delivery events to the specified user and a surrounding physical area. The physical location information for the vehicle is accessed to correct erroneous physical location information for the specified user.

Abstract: A message processing method and system. According to embodiments of the present invention, the preference of a user for messages may be determined based on actions of the user regarding those messages. The message is analyzed to determine one or more categories to which content of the messages belongs to. Thus, a matching degree between the user and a corresponding category may be determined or adjusted according to the preference of the user for the messages. Such a matching degree may be then used for filtering an incoming message. According to embodiments of the present invention, for each specific user, the information that a user is not interested in may be filtered in a more accurate and adaptive manner.