Sap Se

Sap Ag

Gufei Sun

Wen-Syan Li

Heng Wang

Yu Cheng

Zhan Shi

Xingtian Shi

Disclosed herein are technologies for providing recommendations as to particular products and/or services that are customer specific and general, based on customer preference and inquiry. The recommendations are provided as part of an online shopping system. In accordance with one aspect, an item query is received from a customer, and analyzed by a query analyzer to determine if the query is a general item query or a specific item query. A search may be performed for items based on the item query in an items database listing items offered for purchase. If the query is the general item query, customer preference is determined from results of the search. If the query is the specific item query, the items from the results of the search are grouped based on cost performance. The items of the search result are ranked and provided to the customer.

Method, system, and computer-readable medium for product and vendor selection

The embodiments provide a system for matching orders with incoming shipments. The system may include a product shipment handler configured to receive product shipment information specifying incoming products, a product order handler configured to receive product order information specifying a plurality of product orders and input parameter information associated with each product order, a job dispatcher configured to create a plurality of jobs based on the product shipment information and the product order information, a modeling tool configured to model each job as a separate constrained linear optimization problem, and a linear solver configured to solve each constrained linear optimization problem based on the input parameter information and the product shipment information including generating a delivery plan for each product order within a respective job that matches at least one incoming product with a corresponding product order over a period of time.

System, method, and medium for matching orders with incoming shipments

Disclosed herein are technologies for facilitating placement of charging stations. In accordance with one aspect, sensor data of electric vehicles is received. A charging demand distribution over a set of locations is determined based on the sensor data. Candidate locations are selected from the set of locations based on the charging demand distribution. Placement of charging stations at one or more of the candidate locations is then optimized.

Optimized placement of electric vehicle charging stations

Techniques for managing display of content include identifying a document to present to a user on a graphical user interface (GUI); extracting at least one property of the document, the property including metadata associated with the document; determining a correlation between the document and one or more document topics associated with the user; determining an amount of time to display a portion of the document to the user through the GUI based at least in part on the property and the correlation; and displaying the portion of the document to the user through the GUI for the determined amount of time.

Managing a display of content based on user interaction topic and topic vectors

A classifier may be used to receive, via a website, user input associated with a product search of a user, and may be further used to identify a plurality of filters associated with the product search and predict a user-specific subset of the plurality of filters. Then, a filter manager may be used to provide a webpage of the website to the user, based on the user-specific filter subset.

Filter customization for search facilitation

A query collector may be configured to receive a plurality of queries applied by a search engine to obtain corresponding search results. A graph manager may be configured to generate, based on the plurality of queries, a directed graph of nodes, each node corresponding to at least one query and connected to another node, and further configured to merge at least two of the nodes based on a similarity of corresponding queries thereof, to obtain a merged node, and generate at least one representative query representing the merged node. A suggestion generator may be configured to match a current query with a matching node of the nodes, determine that the merged node is a successor node of the matching node within the directed graph, and provide the at least one representative query as a suggested query for a future search to be conducted by the search engine.

Provision of search refinement suggestions based on multiple queries

Techniques for recommending content to a user include identifying classified public content stored on a server appliance or a repository; identifying private content of a user stored on a client appliance or a repository, the client appliance communicably coupled to the server appliance through a network; receiving, from the user, a request for a recommendation of content; generating a representative query based on the request for the recommendation of content; determining, based on the representative query, a portion of the classified public content stored on a server appliance or the repository; determining, based on the request, a portion of the private content stored on the client appliance or the repository; and preparing, for presentation to the user, the portion of the classified public content based on the representative query and the portion of the private content based on the request for the recommendation of content.

Recommending content in a client-server environment

In accordance with aspects of the disclosure, systems and methods are provided for capacity planning management by generating a capacity expansion plan for a plurality of production resources used to produce one or more products relative to one or more time intervals. The systems and methods may include evaluating production patterns for each production resource to determine a production capacity within each time interval, evaluating budget patterns for each production resource to determine a production cash flow within each time interval, generating one or more potential capacity expansion forecasting schemes for each production resource and production budget based on the production patterns for each production resource and the budget patterns for each production budget, and generating the capacity expansion plan within each time interval based on the one or more potential capacity expansion forecasting schemes for each production resource and production budget.

Capacity expansion planning with production resource management

A schedule manager may include a chromosome comparator configured to compare a plurality of schedule chromosomes, each schedule chromosome including a potential schedule of use of manufacturing resources within one or more time intervals in producing one or more items, and configured to compare each of the plurality of schedule chromosomes relative to constraints, to thereby output a selected subset of the plurality of schedule chromosomes. The schedule manager may include a chromosome combiner configured to combine schedule chromosomes of the selected subset to obtain a next generation of schedule chromosomes for output to the chromosome comparator and for subsequent comparison therewith of the next generation of schedule chromosomes with respect to the constraints, as part of an evolutionary loop of the plurality of schedule chromosomes between the chromosome comparator and the chromosome combiner, and a scheduler configured to select a selected schedule chromosome therefrom.

Demand-driven collaborative scheduling for just-in-time manufacturing

The embodiments provide a system for maximizing information gain for messages. The system may include an information processing unit configured to receive a plurality of messages having a plurality of attributes, and an integrated optimizer configured to receive an information gain model representing information gain of the plurality of messages and output a message schedule for displaying at least a subset of the plurality of messages on a display terminal including calculating a significance and display time for each of the plurality of messages using the information gain model and the plurality of attributes such that the information gain is substantially maximized. The calculated significance may determine which of the plurality of messages are included in the message schedule and the display time may provide a time period for which each message of the subset is displayed.

Maximizing information gain for continuous events

In accordance with aspects of the disclosure, systems and methods are provided for production scheduling management by scheduling production events for each of a plurality of production resources used to manufacture one or more products relative to one or more time intervals while considering constraints related to product dependency trees for each of the one or more products. The systems and methods may include determining the constraints related to the product dependency trees for each of the one or more products, generating one or more potential production scheduling schemes for use of each production resource within the one or more time intervals while considering the constraints related to the product dependency trees for each of the one or more products, and generating a production schedule for the production events within the one or more time intervals based on the one or more potential production scheduling schemes.

Production scheduling management

A cluster selector may determine a plurality of sample clusters, and may reproduce the plurality of sample clusters at each of a plurality of processing cores. A sample divider may divide a plurality of samples stored in a database with associated attributes into a number of sample subsets corresponding to a number of the plurality of processing cores, and may associate each of the number of sample subsets with a corresponding one of the plurality of processing cores. A joint operator may perform a comparison of each sample of each sample subset at each corresponding core of the plurality of processing cores with respect to each of the plurality of sample clusters reproduced at the corresponding processing core, based on associated attributes thereof.

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Shanghai, China

Gufei Sun