Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

Abstract: Methods and systems to build containers of uncategorized items are described. In some example embodiments, the methods and systems access a search query received by a network-based publication system, identify a container of uncategorized items having a title that satisfies the search query, and return a result for the search query that is associated with the identified container.

Abstract: Methods and systems to build containers of uncategorized items are described. In some example embodiments, the methods and systems collect information from titles of items available for purchase within a network-based publication system, generate a title for a container of uncategorized items available for purchase within the network-based publication system that is based on the collected information, and associate two or more uncategorized items available for purchase within the network-based publication system to the container based on a comparison of titles of the two or more uncategorized items and the generated title for the container of uncategorized items.

Abstract: Methods and systems to build containers of uncategorized items are described. In some example embodiments, the methods and systems access a search request for items available for purchase via a network-based location, collect information associated with available items having product description information satisfying the search request and located at multiple network-based locations, determine one or more containers that associate items available for purchase based on the collected information, and publish a result for the search request that is based on the determined containers.

Abstract: Methods and systems to build containers of uncategorized items are described. In some example embodiments, the methods and systems generate a title for a container of uncategorized items available for purchase within a network-based publication system, associate two or more uncategorized items available for purchase within the network-based publication system to the container based on a comparison of titles of the two or more uncategorized items and the generated title for the container of uncategorized items, and cause a display of a container-based product purchase page within the network-based publication system that presents product description information for at least one of the associated two or more uncategorized items available for purchase within the network-based publication system.

Abstract: A system and method for selecting diverse product titles to display on a website are disclosed. In some example embodiments, the methods and systems described herein identify available products to be displayed, cluster the identified products based on their similarity to one another, select one or more products from each of the clusters, and display information, such as a title, associated with the randomly selected products.

Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.