Ebay, Incorporated

Paypal, Inc.

Xiaodi Zhang

Alvaro Bolivar

Randall Scott Shoup

Wenyan Hu

Shuhui Chen

Dan Shen

Jun Hang

Helen Hang Ye

JinYu Lou

Jin Yu Lou

In various exemplary embodiments, a system and associated method predict auto-complete recommendations for a partial search request. A search engine receives a partial search request with one or more characters from a client device. A first set of auto-complete recommendations corresponding to the one or more characters of the partial search request are identified. A second partial search request is predicted that comprises a set of characters with one or more additional characters added to the one or more characters from the partial search request. A second set of auto-complete recommendations corresponding to the second partial search request is identified. The first set of auto-complete recommendations and the second set of auto-complete recommendations are returned to the client device as a response to the partial search request.

Search box auto-complete

In various exemplary embodiments, a system and associated method for prioritizing search results in an electronic environment is disclosed. In one embodiment, a plurality of characters is received from an end-user as a query. A plurality of equivalent keywords is selected responsive to the query with each of the equivalent keywords being evaluated based on a probability of matching the query of the end-user. A rank of each of the equivalent keywords is determined to form a response, which is then transmitted to the end-user. Other methods and related systems are disclosed.

Ranking algorithm for search queries

In various exemplary embodiments, systems and associated methods to predict search results in an electronic environment are disclosed. In one embodiment, a method to provide responses to a search request includes receiving, from an end-user, one or more characters that form a portion of the search request. Prior to receiving a completed version of the search request from the end-user, a plurality of keywords is predicted based on the one or more characters. The prediction is based on the most probable keywords selected from a plurality of prior requests stored in a database. A plurality of responses is prepared based on the most probable keywords. The responses are fit within a single communications packet and returned as a reply to the search request. Other systems and methods are disclosed.

Predictive algorithm for search box auto-complete

A system and method for providing a suggested store at or through which to purchase a product or service. When a user enters a query for a product or service into a user interface, the system may use the query as a search argument to search files to find one or more pictures illustrating information about a product or service represented by the query. The picture could illustrate where the queried product or service may be purchased. Auto-complete processes may also be used to process the query as it is being entered, to generate an auto-suggestion key word based on fewer than all the letters of the query, to use as a search argument for the search. Both the query and the auto-suggestion key word may be used as search arguments to find the relevant picture in a variety of search logic sequences to provide the picture to the user.

Traffic driver for suggesting stores

Systems and methods are disclosed to automatically publish data items associated with a news event. In one embodiment, a method comprises determining, using one or more processors, an event of a plurality of events as associated with a heightened user interest, identifying one or more listings from a plurality of listings as matching the event associated with the heightened user interest, and presenting a visual representation of a relationship between the event and the one or more listings such that the one or more listings are displayed as visually related to the event.

System and method for automatically publishing data items associated with an event

In various embodiments, a method of prioritizing search results in an electronic environment is disclosed. The method includes selecting a plurality of equivalent keywords responsive to a search query from an end-user, determining a rank of each of the plurality of equivalent keywords, selecting a plurality of most highly ranked keywords from the plurality of equivalent keywords, and preparing a response including the plurality of most highly ranked keywords.

In various exemplary embodiments, a system and associated method to predict search results in an electronic environment is disclosed. The system architecture comprises a communications module to receive a query from a remote end-user where the query includes one or more characters contained within a first single communications packet. A query engine is coupled to the communications module. The query engine uses the one or more characters from the query to predictively match keywords contained within a data structure (e.g., a database) and forms a response from the one or more characters. The response is transmitted back to the end-user within a second single TCP communications packet.

In various exemplary embodiments, a system and associated method for prioritizing search results in an electronic environment is disclosed. The system comprises a communications module to receive a search query from an end-user. The search query includes one or more characters contained within a single TCP packet. A query engine coupled to the communications module matched the one or more characters from the search query against a plurality of selected keywords contained within a database against the search query. Each keyword is then ranked within the plurality of selected keywords thus forming a subset of selected keywords. A response including the subset of selected keywords is returned to the end-user.

Ranking algorithm for search box auto-complete

Systems and methods are disclosed to automatically publish data items associated with a news event. In one example embodiment, a method comprises monitoring search queries associated with a search query category, detecting a change in a search request frequency associated with the search query category with respect to a baseline frequency, determining an event associated with the search query category, identifying one or more data items associated with the event, and generating a visual representation of a relationship between the one or more data items and the event. The search query category may be associated with at least one search term a baseline frequency.

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New York, NY, United States of America

Xiaodi Zhang