Abstract: An item record in an item database contains an item description generated by a seller of an item. A server machine is configured to access the item database, analyze the item description, and extract descriptive information by inferring an attribute and a corresponding attribute value from the item description. The attribute and its attribute value constitute an attribute-value pair. The server machine uses the attribute-value pair to map the item record to a product record stored in a product database. The mapping of the item record to the product record is based on comparing the attribute-value pair of the item record to a reference attribute-value pair in the product record to identify the product record. The mapping is performed upon detection of a match between the attribute-value pairs.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system are described for catalog generation based on divergent listings. For example, a listing module may receive a divergent listing and collect data corresponding to an item in the listing. Each divergent listing of an item for sale is divergent with respect to other listings of the same item for sale. A calculation module may calculate an entropy value based on the collected data, the entropy value indicating a degree of difference between the item in the listing and a product in a catalog. A catalog module may associate the listing to the product in the catalog based on the entropy value.

Abstract: A method and a system are described for catalog generation based on divergent listings. For example, a listing module may receive a divergent listing and collect data corresponding to an item in the listing. Each divergent listing of an item for sale is divergent with respect to other listings of the same item for sale. A calculation module may calculate an entropy value based on the collected data, the entropy value indicating a degree of difference between the item in the listing and a product in a catalog. A catalog module may associate the listing to the product in the catalog based on the entropy value.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system are described for catalog generation based on divergent listings. For example, a listing module may receive a divergent listing and collect data corresponding to an item in the listing. Each divergent listing of an item for sale is divergent with respect to other listings of the same item for sale. A calculation module may calculate an entropy value based on the collected data, the entropy value indicating a degree of difference between the item in the listing and a product in a catalog. A catalog module may associate the listing to the product in the catalog based on the entropy value.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: There is provided a method and system for qualification testing in a social network service. Qualification testing provides access control into a social network, wherein qualification is based on answers to questions related to a topic. In one example, members admitted to the network provide guidance, notes and research assistance to another member. The social network members access the social network from an external networked computing service, such as another social network, to facilitate easy connection to potential members. The social network may be implemented as an application overlay to the external service, or may access connections in the external network.

Abstract: A system and method for providing product research help to a consumer doing internet shopping. A consumer helper application for internet commerce has been designed to integrate the techniques that are currently used by many internet consumers into a single application program. For example, the consumer helper application allows a user to take notes, store web site links, store web site annotations, obtain collaborative input, and perform other tasks commonly used by web site consumers. The consumer helper application stores all of the information gathered in a single place. Information provided by other consumers may be shared using the consumer helper application. The consumer helper application will suggest specific items for a consumer to purchase based up on the information gathered by the consumer into the consumer helper application.

Abstract: A computer-implemented system and method for providing information tagging in a networked system is disclosed. The apparatus in an example embodiment includes a tag engine configured to process a database of categorized product listings; to receive a user-provided tag associated with at least one of the product listings; to retain the user-provided tag; and to serve the user-provided tag to a user viewing at least one of the product listings.

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.