RICHRELEVANCE, INC. Patent applications |
Patent application number | Title | Published |
20140180798 | CONTEXTUAL SELECTION AND DISPLAY OF INFORMATION - Techniques are described related to automatically selecting and providing contextually appropriate information, such as in some situations by providing restricted commerce-related information and associated functionality to authorized users via corresponding Web pages of an online retailer or other online commerce site. The selecting and providing of contextually appropriate information is performed in at least some situations in an automated manner by a computer-implemented contextual information selection service of a first entity on behalf of one or more target online retailer sites or other target online commerce sites of one or more other second entities, with the selection service further determining particular promotional materials to display or otherwise present to particular customers of those target online commerce sites in at least some embodiments. The provided restricted access information and associated functionality may be of various types, including merchandising-related information, placement information and/or social information. | 06-26-2014 |
20130198007 | SYSTEM AND PROCESS FOR IMPROVING PRODUCT RECOMMENDATIONS FOR USE IN PROVIDING PERSONALIZED ADVERTISEMENTS TO RETAIL CUSTOMERS - A system and process for improving product recommendations for a first user includes receiving a request for one or more product recommendations for a first user, each product recommendation being associated with any one of a plurality of retailers, receiving a plurality of recommendation sets from one or more automated product recommendation systems, wherein the plurality of recommendation sets are generated using different selection models and using ensemble learning to select one or more most relevant product recommendation sets from the plurality of product recommendation sets. | 08-01-2013 |
20120316970 | SYSTEM AND METHOD FOR PROVIDING TARGETED CONTENT - An arrangement for providing targeted content includes data repositories storing information from which targeted content may be selected. The data repositories store at least one contextual relationship graph. The arrangement also includes an input/output interface through which a request for targeted content is made. The arrangement further includes a controller that receives the request for targeted content and selects targeted content using the contextual relationship graph. The controller further provides the selected targeted content through the input/output interface. An arrangement for determining the relative strength of a classification for a group of words includes memory for storing a contextual relationship graph for a given classification and a processor that receives the contextual relationship graph and a plurality of words to be analyzed by the processor, identifies occurrences of the relationships identified in the contextual relationship graph and determines the relative strength of classification based on the identified occurrences. | 12-13-2012 |
20120310771 | GENERATION OF PRODUCT RECOMMENDATIONS USING A DYNAMICALLY SELECTED STRATEGY - Techniques are described for dynamically generating recommendations for users, such as for products and other items. In at least some situations, the techniques include using multiple recommendation strategies, such as by aggregating recommendation results from multiple different recommendation strategies. Such recommendation strategies may have various forms, and may be based at least in part on data regarding prior interactions of numerous users with numerous items. In addition, information about current selections of a particular user may be gathered based at least in part on providing a GUI (“graphical user interface”) for display to the user that includes selectable information about numerous recommended items, and dynamically updating the displayed GUI with newly generated recommendations of items as the user makes selections of particular displayed recommended items (e.g., newly generated recommendations that are similar to the selected items in one or more manners, or are otherwise related to the selected items). | 12-06-2012 |