Ebay, Incorporated

Paypal, Inc.

Ken Sun

Muhammad Faisal Rehman

Ryan McDonald

Julie Lavee Netzloff

Olivier G Dumon

Alan Lewis

Alvaro Bolivar

Raghav Gupta

Alec Reitter

Oliver G Dumon

Sanjay Pundlkrao Ghatare

Ashita Achuthan

Barbara Chang

Barb Chang

Rangaraj Keshavamurthy Belur

Suchisubhra Sinha

James Matthew Olson

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.

Methods and systems for deriving a score with which item listings are ordered when presented in search results

Methods and systems for using a demand metric for disambiguating a keyword entered from a user of a client machine, the keyword ambiguously identifying a product category, deriving a dominant product category that indicates the probable identity of the product category, and providing selectable images of aspects of the dominant product category for rendering at the client machine. Selection of one of the selectable images of aspects of the dominant product category disambiguates the identity of the ambiguously identified product category. Additional aspects of the disambiguated product category are then presented to the user.

Methods and systems for determining a product category

A computer-implemented system and method for keyword extraction are disclosed. The system in an example embodiment includes a keyword extraction component to extract relevant keywords from content of a web page, to identify items relevant to the extracted keywords, and to rank the relevant items.

System and method for keyword extraction

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.

Method and system for determining an order of presentation of search results

Methods and systems for using a demand metric for disambiguating a keyword entered from a client machine, the keyword identifying a product brand and ambiguously identifying a product category of the product brand; computing the dominant product category that indicates the probable identity of the product category; and providing signals representing selectable images of aspects of the dominant product category for rendering at the client machine.

Methods and systems using demand metrics for presenting aspects for item listings presented in a search results page

Methods and systems to search with a mobile device are described. The system receives a request, over a network, from a mobile device. The request includes search information to search a database and location information to identify the location of the mobile device. Next, the system generates search results based on the search information. The search results include a plurality of items. Next, the system arranges items in the search results based on the location of the mobile device. Finally, the system communicates a user interface, over the network, to the mobile device. The user interface includes the search results. The search results include the items. The arrangement of the items in the search results is based on the location of the mobile device.

Systems and methods to search with a mobile device

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 in a first format and a second set of items in a second format. The number of items in the first set and the number of items in the second may reflect a predetermined target ratio and respective exposure percentages for items in the first format and items in the second format. 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.

Methods and systems for evaluating business rules for the purpose of promoting or demoting an item listing are presented. Consistent with an example embodiment, a conditional statement of a business rule that includes one or more expressions involving an item attribute and/or a seller attribute for an item listing is evaluated. If the conditional statement evaluates true, an adjustment factor set forth in the business rule is applied to a ranking score assigned to the item listing. The item listing is then presented in a search results page in a position relative to other item listings based upon the adjusted ranking score.

Method and system for adjusting product ranking scores based on an adjustment factor

Computer-implemented systems and methods for generating marketplace listings using a camera enabled mobile device are described in which a request is received via a camera enabled mobile device to list one or more sale items. An image taken by the camera enable mobile device and depicting the one or more sale items is received. Image recognition is performed on the received image to identify the one or more sale items. Based on the identification of the one or more sale items depicted in the image, a set of descriptive data is automatically generated. The one or more sale items are listed on a marketplace using the image and the automatically generated set of descriptive data.

Systems and methods for marketplace listings using a camera enabled mobile device

Methods and systems for using a half-life formula for deriving demand metrics used in ordering item listings, when presenting those item listings in a search results page, are described. In some embodiments, a demand metric for an item listing is derived by monitoring events associated with item listings, such as, keeping a count of the number of search impressions an item listing receives. A half-life formula is used to ensure that events occurring earlier in time contribute less to the demand metric than more recently occurring events. The demand metric are used to order the item listings, when the item listings are being presented in a search results page.

Methods and systems for deriving demand metrics used in ordering item listings presented in a search results page

Systems and methods for marketplace listings using  a camera enabled mobile device

The present disclosure relates to methods and systems for managing how merchandise listings satisfying a search query are processed and presented to a user of a computer-based trading or e-commerce application when the listings are of heterogeneous types. Consistent with some embodiments, in response to a user-initiated search query, item listings and product listings are displayed intermingled in a set of search results pages. The item listings and product listings are positioned relative to one another, in part, based on a level of demand associated with the product listings and the item listings, where demand is measured by monitoring user-initiated activities in connection with the item and product listings.

Growing community of inventors

Palo Alto, CA, United States of America

Ken Sun