Abstract:
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.
Abstract:
Methods and system for item clustering are described. In one embodiment, compatibility data may be accessed for an item. The compatibility data may include a plurality of parent items with which the item is compatible. A particular parent item within the compatibility data may be identified. An item cluster for the item and an additional item may be created based on compatibility of the item and the additional item with the particular parent item within the compatibility data. A compatibility identifier may be associated with the item cluster. The compatibility identifier may be associated with the parent item. Additional methods and systems are disclosed.
Abstract:
There is provided a method and system to communicate information. The system receives a first query that contains a first constraint and retrieves a first plurality of data items from a database based on the first query. Next, the system generates a first distribution based on the first plurality of data items, the first distribution utilizing a first plurality of domains that are used to identify data items. Next the system generates a second distribution based on a plurality of requests to view a second plurality of data items. Next the system generates a third distribution based on the first distribution and the second distribution. Finally, the system generates distribution data to be included within an interface, the interface to include at least one interface element that is positioned on the interface based on the third distribution, the at least one interface element to respectively represent at least one domain.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
There is provided a method and system to communicate information. The system receives a first query that contains at least one constraint and retrieves a first plurality of data items from a database based on the first query. Next the system generating a first distribution based on the first plurality of data items, the first distribution utilizing a first plurality of domains used to identify data items. Next the system generates a second distribution based on a plurality of requests to view a second plurality of data items. Next the system generates a third distribution based on the first distribution and the second distribution. Finally the system generates interface information, to be communicated to a user, based on the third distribution.
Abstract:
There is provided methods and systems to provide popular query coverage. The system receives a plurality of queries that are used to search a database, the plurality of queries respectively including a string of text that includes at least one keyword. Next, the system determines a subset of most popular queries from the plurality of queries. Next, the system applies a first plurality of rules to a first most popular query in the subset of most popular queries to identify a second plurality of rules that respectively identify at least one matching keyword in the first most popular query. Next, the system counts the first plurality of rules to determine a total quantity of rules and counts the second plurality of rules to determine a second quantity of rules. Next, the system determines a percentage of coverage for the first most popular query, the percentage of coverage based on the total quantity of rules and the second quantity of rules. Finally, the system provides the percentage of coverage for the first most popular as an interface element within an interface.
Abstract:
A method and system facilitate a search of an information resource. The system identifies data items within the information resource and determines a respective attribute value from each data item. The system analyzes the attribute values to identify a distribution of the data items based on a predetermined range of attribute values that are associated with the first attribute and determines if the identified distribution of data items facilitates the search of the information resource.
Abstract:
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.