Ebay, Incorporated

Josh Loftus

Jean-Michel Leon

Aditya Arora

Benjamin David Foster

Louis Marcel Gino Monier

Seema Shah

Venkat Sundaranatha

There are provided methods and systems to identify an item based on data associated with the item. Information is received that is descriptive of an item to be listed on an information storage and retrieval platform. The information is associated with an aspect-value pair, which is an aspect of the item and a value of the aspect. An expression of an interest of a user in the item is received. The expression is associated with the aspect-value pair. In response to the associating of the expression with the aspect-value pair, the item is identified.

Identifying an item based on data associated with the item

There is provided methods and systems to transform unstructured information into structured information. First, the system accesses a rule specifying a condition for assigning data to the data item, the condition based on the content of the data item, the assigned data to provide structure to the data item. Second, based on a detecting that the condition has been met, the system applies the rule to assign the assigned data to the data item. Third, the system stores, in a database, the data item and the assigned data as the data item structured information.

Method and system to transform unstructured information

There are provided methods and systems to identify an item based on data inferred from information about the item. Information is received that is descriptive of an item capable of being listed on an information storage and retrieval platform. The information is associated with an aspect-value pair, which is an aspect of the item and a value of the aspect and is inferred from the information. An expression of an interest of a user in an additional item is received. The expression is associated with the aspect-value pair. In response to the associating of the expression with the aspect-value pair, the item is identified as the additional item.

Identifying an item based on data inferred from information about the item

A method and system to analyze rules is described. The system receives a query and applies a first plurality of rules to the query to identify a second plurality of rules that respectively identify at least one matching keyword in the query. Next, the system counts the first plurality of rules to identify a total quantity of rules applied to the query and further counts the second plurality of rules to identify a second quantity of rules that respectively identify at least one matching keyword in the query. Finally, the system determines a percentage of coverage for the query based on the total quantity of rules and the second quantity of rules.

Method and system to analyze rules

Methods and systems to analyze domain rules based on domain coverage of the domain rules are provided. First, the system receives a first plurality of data items from a database utilized by an information storage and retrieval platform, respectively counting the first plurality of data items to determine a total quantity of data items. Next, the system applies a plurality of rules to the first plurality of data items to identify a second plurality of data items associated with a first domain based on the respective rule, respectively counting the first plurality of data items to determine a first quantity of data items. Next, the system determines a percentage of coverage for the first domain, the percentage of coverage based on the first quantity of data items and the total quantity of data items. Next, the system represents the percentage of coverage as a first interface element within an interface.

Method and system to analyze domain rules based on domain coverage of the domain rules

Methods and systems to analyze aspect rules based on domain coverage of aspect-value pairs are provided. The system receives a first plurality of data items from a database, applies a first plurality of rules to the first plurality of data items to generate a second plurality of data items associated with a first domain, counts the second plurality of data items to determine a total quantity of data items, applies a second plurality of rules to the second plurality of data items to identify a third plurality of data items it associates with a first aspect-value pair, counts the third plurality of data items to determine a first quantity of data items, determines a percentage of coverage for the first aspect-value pair based on the first quantity of data items and the total quantity of data items, and provides the percentage coverage for the first aspect-value pair as an interface element within an interface.

Method and system to analyze aspect rules based on domain coverage of an aspect-value pair

Methods and systems to analyze aspect rules based on domain coverage of the aspect rules are provided. The system receives a first plurality of data items from a database, applies a first plurality of rules to the first plurality of data items to generate a second plurality of data items associated with a first domain, counts the second plurality of data items to determine a total quantity of data items, applies a second plurality of rules to the second plurality of data items to identify a third plurality of data items associated with a first aspect counts the third plurality of data items to determine a first quantity of data items, determines a percentage of coverage for the first aspect based on the first quantity of data items and the total quantity of data items, and provides the percentage of coverage as an interface element within an interface.

Method and system to analyze aspect rules based on domain coverage of the aspect rules

There are provided methods and systems to analyze rules. The system may analyze the rules by applying the rules to a most popular query. The most popular query may be identified as such by containing a particular keyword. Specifically, a most popular query may contain a keyword that appears more often than other keyword in a sample of queries received over a period of time. Next, the system applies the rules to the most popular query to determine a percentage of coverage of the rules for the most popular query. For example, a particular rule may evaluate TRUE, if the rule identifies a keyword in the query. Next the system generates a percentage of coverage based on a count of the rules that evaluated TRUE and the total number of rules that were applied to the most popular query.

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San Jose, CA, United States of America

Josh Loftus