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:
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:
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.
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 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:
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.
Abstract:
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.
Abstract:
An index engine may receive historical path data characterizing transportation paths in terms of associated conditions, and may define path segments of varying levels of granularity based on the historical path data, wherein relatively shorter path segments have relatively finer levels of granularity than those of path segments of relatively coarser levels of granularity. The index engine may then index each path segment, based on its corresponding level of granularity and its associated conditions. Then, a query processor may receive a query for a new transportation route, and determine a predicted transportation time for the new transportation route, using the indexed path segments.
Abstract:
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.
Abstract:
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.