Abstract:
A first database search is performed for images similar to a first query image, and a first plurality of images that result from the first database search are provided. The first plurality of images are selectable to provide a second query image. A second database search is performed for images similar to the second query image, and a second plurality of images that result from the second search are provided. The second plurality of images are selectable to provide a third query image. A third database search is performed for images similar to the third query image; and a third plurality of images that result from the third database search are provided. The third plurality of images are selectable for providing a fourth query image. The search can continue to additional depths. Similarity may be determined by pixel color gradients using windows of computation.
Abstract:
Methods and systems enable access to listing performance data associated with a search engine. A request for listing performance data for an item is received from a client computing system. The request is associated with a keyword and/or a category. The request is processed to retrieve the listing performance data corresponding to the item, and a value is determined that indicates a strength of the item in a search results listing having a plurality of search results based on a search using the keyword and/or the category. The listing performance data and value are provided for presentation.
Abstract:
Methods and systems for analyzing, ordering and presenting item listings are described. In one example embodiment, a search query is processed to identify item listings satisfying the search query. Then, for each item listing that satisfies the search query, a ranking score is derived and assigned to the item listing. The ranking score is based in part on a relevance score, a listing quality score and a business rules score (or, adjustment factor). Finally, the item listings are ordered, based on their corresponding ranking score, and presented in order in a search results page.
Abstract:
Methods and systems for enabling access to listing performance data, used in conjunction with a search engine to order search results, are described. Consistent with some embodiments, a listing performance data engine module processes API commands received from client computing systems. The data engine module processes the API commands to identify and communicate relevant listing performance data that is used by a listing performance algorithm to assign a listing performance score to item listings satisfying a search request. The listing performance data provides sellers who have items listed for sale an insight as to how their item listings are performing in comparison to other item listings.
Abstract:
A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.
Abstract:
Methods and systems for analyzing, ordering and presenting item listings are described. In one example embodiment, a search query is processed to identify item listings satisfying the search query. Then, for each item listing that satisfies the search query, a ranking score is derived and assigned to the item listing. The ranking score is based in part on a relevance score, a listing quality score and a business rules score (or, adjustment factor). Finally, the item listings are ordered, based on their corresponding ranking score, and presented in order in a search results page.
Abstract:
A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.
Abstract:
Methods and systems for enhancing a user interface of a client device are described. In an example embodiment, a machine processes a query to identify one or more item listings that satisfy the query. Each item listing is associated with at least one item being offered for sale. The machine assigns one or more scores to one or more item listings that satisfy the query based on an observed demand metric derived from historical performance data of the one or more item listings. The machine causes a presentation of the one or more item listings that satisfy the query in a search results page displayed in the user interface of the client device. The one or more item listings are positioned in the search results page based on the one or more scores assigned to the one or more item listings.
Abstract:
Methods and systems for analyzing, ordering and presenting item listings are described. In one example embodiment, a search query is processed to identify item listings satisfying the search query. Then, for each item listing that satisfies the search query, a ranking score is derived and assigned to the item listing. The ranking score is based in part on a relevance score, a listing quality score and a business rules score (or, adjustment factor). Finally, the item listings are ordered, based on their corresponding ranking score, and presented in order in a search results page.
Abstract:
A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.