Abstract: Systems and methods for ranking one or more products in online shopping. One or more products are identified based on a search query received from user. The one or more products are ranked based on terms present in the search query. Each of the one or more products has one or more attributes associated with it. An attribute score for each of the one or more products is determined. Further, based on the attribute score, the relevancy of the one or more products is determined. Based on the relevancy, a marginal relevancy score for each of the one or more products is determined. The one or more products are re-ranked based on the marginal relevancy score. The rank of the one or more products can also be modified to optimize revenue generation.

Abstract: A method for identifying primary product objects on webpages over the Internet. A primary product object displays the best view of the product that a webpage is detailing. Each webpage is divided into sections based on the primary product objects in the webpage. Features of candidate product objects in each section are extracted. The primary product objects are identified by computing probabilities of the candidate product objects in each section being primary product objects, based on a statistical model. The identified primary product objects are stored for subsequent retrieval and display.

Abstract: A method is provided for transferring digital image data. The method identifies areas of the image that frequently change and divides the image into regions based on the identified areas. The regions may be created based on a distance between identified areas, an amount of data encompassed by the identified areas, or other desired parameters. A unionizing process is applied to each of the regions to create a change rectangle encompassing the changes in each region. The information representing each change rectangle may then be transferred, resulting in a more efficient utilization of bandwidth.