Abstract:
Methods and systems for simulating a search, for the purpose of evaluating one or more scoring functions used in ordering item listings for presentation in a search results page are described. Consistent with some embodiments, a simulation platform includes a real-time simulation module that receives search result sets for search queries that result in the conclusion of a transaction. The result set is then processed by the simulation platform with one or more test scoring functions, such that the resulting position of the item listing that has resulted in the transaction can be compared with the actual position at which the item listing was displayed in the actual search results. For each test scoring function, an average rank shift metric is determined, and displayed, thereby providing a metric with which to base decisions about which scoring functions to use in the production system.
Abstract:
Methods and systems enable access to listing performance data used in conjunction with a search engine to order search results. A request for listing performance data for a specific item listing from a seller is received from a client computing system. The request specifies a keyword and/or a category. The request is processed to retrieve the listing performance data corresponding to the specific item listing, and a position value is determined that indicates a position at which the specific item listing would appear to a potential buyer in a search results listing having a plurality of item listings based on a search using the keyword and/or the category. The listing performance data and position value are transmitted to the client computing system for presentation to the seller.
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 method and system for determining an order of presentation of the search results is provided. An example system comprises a search request detector, a search engine, and an intermingler. The search request detector may be configured to receive a search request, and the search engine may be configured to determine search results based on the search request. The search results may comprise a first set of items of a first type and a second set of items of a second type. The number of items in the first set and the number of items in the second may reflect a predetermined target ratio. The intermingler may be configured to determine an order of presentation of the search results in a list of search results based on the target ratio.
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:
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 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.