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: 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 method of allocating shelves includes obtaining shopping paths of customers in a supermarket, classifying the plurality of customers into a plurality of customer classes based on the shopping paths of the plurality of customers, determining one or more shopping paths adopted by more customers in the plurality of customer classes as frequent shopping paths of a class of customers of the plurality of customer classes, calculating a see-buy rate of a commodity for each of the plurality of customer classes based on shopping lists and the frequent shopping paths of the plurality of customers, calculating a location for a set of commodities when total expected benefits for the set of commodities are maximized during a certain period of time. The total expected benefits include a sum of an expected benefit for each commodity in the set of commodities based on the see-buy rate and the frequent shopping paths.

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 computer-implemented method, apparatus, and system for selecting a solution for carbon emission prediction. The method includes the steps of: obtaining historical records of carbon emission and a current demand for carbon emission, locating from the historical records of carbon emission a best matching historical record with respect to the current demand and selecting, based on the located best matching historical record, one of (i) a data prediction solution record and (ii) a rule prediction solution, where at least one step is carried out using a computer device.

Abstract: A computer-implemented method and non-transitory article of manufacture tangibly embodying computer readable instructions for selecting a solution for carbon emission prediction. The method includes the steps of: obtaining historical records of carbon emission and a current demand for carbon emission, locating from the historical records of carbon emission a best matching historical record with respect to the current demand, selecting, based on the located best matching historical record, one of (i) a data prediction solution record and (ii) a rule prediction solution, and calculating a demand gap between the current demand and the best matching historical record as a best matching demand gap, where at least one step is carried out using a computer device.

Abstract: A method of allocating shelves includes obtaining shopping paths of customers in a supermarket, classifying the plurality of customers into a plurality of customer classes based on the shopping paths of the plurality of customers, determining one or more shopping paths adopted by more customers in the plurality of customer classes as frequent shopping paths of a class of customers of the plurality of customer classes, calculating a see-buy rate of a commodity for each of the plurality of customer classes based on shopping lists and the frequent shopping paths of the plurality of customers, calculating a location for a set of commodities when total expected benefits for the set of commodities are maximized during a certain period of time. The total expected benefits include a sum of an expected benefit for each commodity in the set of commodities based on the see-buy rate and the frequent shopping paths.

Abstract: Information of articles to be loaded is received, indicating and numbers of the articles to be loaded. A historic loading plan record is read. An item of the historic loading plan record includes at least a loading plan and an adaptive index corresponding to the loading plan. A loading plan suitable for the current transportation is generated based on the historic loading plan record and the information of articles to be loaded. The technical solution of this invention may reduce the requirements on storage and computing resources.

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.

Abstract: A method of and a system for allocating commodity shelves including obtaining shopping paths of customers, classifying the customers according to a predetermined standard, determining one or more shopping paths adopted by more customers in each kind of customers as frequent shopping path(s) of this kind of customers, calculating a see-buy rate of a commodity for each class of customers. The see-buy rate of a commodity for a class of customers refers to a probability to purchase the commodity for the class of customers. Calculating a shelf where each commodity in a set of commodities is located when the total expected benefits for set of commodities are maximized during a certain period of time. The total expected benefits include a sum of an expected benefit for the each commodity based on the see-buy rate and the frequency shopping path when each commodity is located in its own shelf.

Abstract: A method and system for determining supply chain service area by simulating service cycle time. A plurality of simulation parameters including stochastic factors are used with a supply chain simulation model. The supply chain simulation model is run repeatedly and generated simulated data is analyzed to determine service cycle time. The service cycle time is used to compute service area for a facility.

Abstract: A computer-implemented method, apparatus, and system for selecting a solution for carbon emission prediction. The method includes the steps of: obtaining historical records of carbon emission and a current demand for carbon emission, locating from the historical records of carbon emission a best matching historical record with respect to the current demand and selecting, based on the located best matching historical record, one of (i) a data prediction solution record and (ii) a rule prediction solution, where at least one step is carried out using a computer device.

Abstract: A computer-implemented method, apparatus, and system for selecting a solution for carbon emission prediction. The method includes the steps of: obtaining historical records of carbon emission and a current demand for carbon emission, locating from the historical records of carbon emission a best matching historical record with respect to the current demand and selecting, based on the located best matching historical record, one of (i) a data prediction solution record and (ii) a rule prediction solution, where at least one step is carried out using a computer device.

Abstract: A method of receiving a file including receiving a file and receiving at least one tag path associated with the file. The tag path has a lowest node and a highest node and each the node having a tag vector. The method also includes selecting at least one storage path for which a similarity between the tag vector of the lowest node and the tag vector of the highest node exceeds a predetermined threshold and storing the file under the storage path.

Abstract: Apparatus and method for transmitting file and apparatus and method for receiving file. The apparatus for receiving a file includes: a receiving device configured for receiving a file and at least one tag path associated with the file; a path selection device configured for selecting from candidate paths at least one path where a similarity between the tag vector of the lowest node and the tag vector of the highest node in each of the tag path exceeds a predetermined threshold, as a storage path; and a storage device configured for storing the file under the storage path.

Abstract: A method of and a system for allocating commodity shelves including obtaining shopping paths of customers, classifying the customers according to a predetermined standard, determining one or more shopping paths adopted by more customers in each kind of customers as frequent shopping path(s) of this kind of customers, calculating a see-buy rate of a commodity for each class of customers. The see-buy rate of a commodity for a class of customers refers to a probability to purchase the commodity for the class of customers. Calculating a shelf where each commodity in a set of commodities is located when the total expected benefits for set of commodities are maximized during a certain period of time. The total expected benefits include a sum of an expected benefit for the each commodity based on the see-buy rate and the frequency shopping path when each commodity is located in its own shelf.

Abstract: Information of articles to be loaded is received, indicating and numbers of the articles to be loaded. A historic loading plan record is read. An item of the historic loading plan record includes at least a loading plan and an adaptive index corresponding to the loading plan. A loading plan suitable for the current transportation is generated based on the historic loading plan record and the information of articles to be loaded. The technical solution of this invention may reduce the requirements on storage and computing resources.