Abstract: 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.

Abstract: 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.

Abstract: The present application discloses a marketing method and system for Internet insurance products. The method includes: constructing a broker social network graph according to first insurance related data, the broker social network graph including a plurality of first sub-graphs; performing a community division on each first sub-graph of the plurality of first sub-graphs to obtain a first community structure; calculating respective node network indicators of the first sub-graph and at least one layer of community in the first community structure to obtain a plurality of node network indicators; and analyzing the plurality of node network indicators and marketing Internet insurance products based on an analysis result. The embodiments of the present application enable the marketing of Internet insurance products to be carried out effectively and improve the probability of success in Internet insurance marketing.

Abstract: 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.

Abstract: The present invention provides a method for entering text based on an image. The method includes a recognition parameter, corresponding to at least one region in an image, is acquired, the recognition parameter includes text contents recognized from the at least one region and location information associated with the at least one region. An entry location is selected in an entry page, and the following steps are performed: a parameter value, shared by a plurality of tag pages, is acquired; and according to the parameter value shared by the plurality of tag pages, a display page is automatically located to a region corresponding to the selected entry location. The parameter value shared by the plurality of tab pages comprises location information corresponding to the selected entry location. Based on the location information corresponding to the selected entry location and the recognition parameter, text contents to be entered are determined.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed herein are technologies for demand management by providing a real time prediction model, using an elasticity matrix to quantify price change and demand, group customers based on their demand, set pricing per each group of customers, and optimize distribution. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Disclosed herein are technologies related to an optimization of project resource management of projects having multiple resource types and cost structures. One or more the technologies involves optimizing a project based, at least in part, on project data and related resource data using successive genetic operations and evaluations and further producing a resource-acquisition plan for the optimized project.

Abstract: Disclosed herein are technologies related to infrastructure investment planning for short-term and long-term capacity demands. One or more of the described technologies involve solving rent-or-buy optimization for real world infrastructure investment planning. Such technologies utilize forecasting, predictive analysis and dynamic programming. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A maintenance data collector may be used to collect maintenance data characterizing maintenance events associated with maintaining operations of a plurality of components, and a critical component identifier may be used to identify, from the plurality of components and based on the maintenance data, critical components that contribute disproportionately to production losses caused by the maintenance events. A causality analyzer may then determine causal connections between the maintenance events, based on operational dependencies between pairs of the plurality of components, and a maintenance policy generator may generate a maintenance policy governing future maintenance events for the plurality of components, based on the identified critical components and the causal connections.

Abstract: 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.

Abstract: According to an aspect, a system includes transportation module configured to generate a transportation plan for packages scheduled to be routed through a regional logistics network such that the transportation plan minimizes transportation costs. The transportation module may include a pickup plan module, a depot-to-depot plan module, and a delivery plan module. The pickup plan module may be configured to compute a pickup transportation plan for packages to be picked-up from the customers in the customer area of an origin depot. The depot-to-depot plan module may be configured to compute a depot-to-depot transportation plan for packages transferred between the origin depot and a destination depot. The delivery plan module may be configured to compute a delivery transportation plan for delivering packages from the destination depot to the customers within the customer area of the destination depot.

Abstract: 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.

Abstract: 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.