Abstract: Systems and methods are disclosed herein for providing search results, particularly product records from a product database. For an individual query, relevant search results are identified and brands corresponding thereto are also identified. Brands are then ranked according to the popularity and representation in the search results. Popularity may be a function of click-through rate for results corresponding to a brand as well as a function of sales and cultural popularity. One or more brands are selected according to the ranking. Search results filtered according to one or more selected brands are transmitted to an author of the query. Results may be transmitted with interface elements for selecting a brand to invoke display of search results belonging to a brand.

Abstract: Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Tokens of a query are identified. Product records including one or more tokens in values associated with the attributes thereof are identified. A score is generated for attributes of products including a token (an attribute-token score). The attribute-token score is based on a frequency of occurrence of the token in the attribute value and a length of the attribute value in which it occurs. The attribute-token scores for the token are summed to generated a score. The token score for a token may be scaled in a non-linear fashion such that the scaled value approaches a saturation value, which may be an inverse document frequency (IDF) score for the token. The scaled values may then be summed to generate a score for the document that is used to rank the search results.

Abstract: The present invention is generally directed to methods, systems, and computer program products for selectively altering the processing of a request based on a potential value of the request. When an undesirably high number of requests are being received by a server system, the server system can identify requests that have a potential value greater than a potential value of one or more other requests. The server system can then alter the processing of the requests having the lower potential value thereby ensuring that requests with higher potential value are processed adequately.

Abstract: Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Past queries are analyzed and grouped into clusters according to similarities with one another. For an individual query, relevant search results are identified and departments corresponding thereto are also identified. Confidence scores are determined for the identified departments and if one or more departments have confidence scores above a threshold, the search results are filtered based thereon. If not, then departments corresponding to a query cluster relevant to the query are selected. Additional departments may also be selected based on the number of search results corresponding to the additional departments. Search results filtered according to one or more selected departments are transmitted to an author of the query.

Abstract: The present disclosure is directed to computer-implemented methods and systems for identifying an attribute and/or attribute value in a text string. In embodiments, the text string comprises a search query submitted by a user. Embodiments of the present disclosure include identifying an attribute value from a search query by comparing the search query string to a list of known attribute values and comparing the candidate attribute value to a knowledge base to confirm that the string represents an attribute value rather than a non-attribute concept. In embodiments, a Bloom filter is employed to execute a relatively efficient comparison between a candidate attribute value and known non-attribute concepts.

Abstract: The present disclosure is directed to computer-implemented methods and systems for identifying an attribute and/or attribute value in a text string. In embodiments, the text string comprises a search query submitted by a user. Embodiments of the present disclosure include identifying an attribute value from a search query by comparing the search query string to a list of known attribute values and comparing the candidate attribute value to a knowledge base to confirm that the string represents an attribute value rather than a non-attribute concept. In embodiments, a Bloom filter is employed to execute a relatively efficient comparison between a candidate attribute value and known non-attribute concepts.

Abstract: Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Products records have facet groups associated therewith and facet groups have probabilities associated therewith indicating the usefulness of the facet group as a way of organizing or filtering search results. For a query, relevant product records are identified. For facet groups present among the relevant product records entropy values are calculated based on a distribution of values for the attribute defining the facet group. The entropy value increases as the distribution of values becomes more uniform. The facet group probability and entropy value are combined to assign a score to the facet groups. The facet groups are ranked and selected according to the score and search results are presented with indicators of the facet groups to enable a user to manage the search results.

Abstract: Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Past queries are analyzed and grouped into clusters according to similarities, with each query including a highly relevant head query and a plurality of tail queries. Similarity of queries may be determined based on user response similarity to query results, co-occurrence, and textual similarity. One or more categories are identified for the clusters, such as based on click-through rates for search results of the head queries of the clusters. Upon receiving a query, a cluster for the query is identified, such as according to similarity to one or more queries of the cluster. The categories associated with the cluster are then used to one or both of augment the query and rank search results for the query.

Abstract: Example systems and methods that select search result images are described. In one implementation, a method accesses a ranking of multiple products associated with a search query and identifies a reference to a color in the search query. The method identifies a first product from the ranking of multiple products and identifies multiple product images associated with the first product. A color determination is made regarding each of the multiple product images. A product image having an associated color that is most similar to the color in the search query is selected for presentation in the search results.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that rank search results are described. In one implementation, a method receives an initial search query from a user and identifies a reference to a color in the initial search query. A second search query is created by re-writing the initial search query without reference to the color in the initial search query. The second search query is executed to identify multiple products. The method identifies a particular product within the multiple products that includes the color in the initial search query and increases a ranking score associated with the particular product.

Abstract: Determining a mapping between a textual representation in a document and a concept is disclosed. A document is received. A set of candidate textual representations in the document is identified. For at least one candidate textual representation included in the set, an associated concept included in a taxonomy of concepts is determined. The candidate textual representation and the associated concept are provided as output.

Abstract: Determining a mapping between a textual representation in a document and a concept is disclosed. A document is received. A set of candidate textual representations in the document is identified. For at least one candidate textual representation included in the set, an associated concept included in a taxonomy of concepts is determined. The candidate textual representation and the associated concept are provided as output.

Abstract: Techniques for including a hyperlink in a document is disclosed. A document is received via a communications interface. An entity pair is determined by a processor. The entity pair includes a concept included in a concept taxonomy and a textual representation included in the document. As output, a hyperlink is provided.

Abstract: Determining a mapping between a textual representation in a document and a concept is disclosed. A document is received. A set of candidate textual representations in the document is identified. For at least one candidate textual representation included in the set, an associated concept included in a taxonomy of concepts is determined. The candidate textual representation and the associated concept are provided as output.

Abstract: Techniques for including a hyperlink in a document is disclosed. A document is received via a communications interface. An entity pair is determined by a processor. The entity pair includes a concept included in a concept taxonomy and a textual representation included in the document. As output, a hyperlink is provided.

Abstract: An endoscopic surgical navigation system comprises a data acquisition subsystem, a tracking subsystem, a registration subsystem, a data processing subsystem and a user interface subsystem. The data acquisition subsystem inputs intra-operative scan data from a medical scanning device during an endoscopic procedure. The tracking subsystem captures data representing positions and orientations of a flexible endoscope during the endoscopic procedure. The registration subsystem determines transformation parameters for coregistering the intra-operative scan data and the data indicative of positions and orientations of the endoscope. The data processing subsystem coregisters the intra-operative scan data and the data indicative of positions and orientations of the endoscope based on the transformation parameters and generates real-time image data representing 3D internal views of a body that are coregistered with live video from an endoscopic video camera.

Abstract: An endoscopic surgical navigation system comprises a multi-dimensional video generation module that enables a user to visually navigate captured endoscopic video with six degrees of freedom. This capability provides the user with control of a virtual camera (point of view) that can be translated in three orthogonal axes in 3-D space as well as allowing control of vertical panning (pitch), horizontal panning (yaw) and tilt (roll) of the virtual camera, as well as zoom.