Abstract: A system and method of identifying suspicious item-related features are disclosed. In some embodiments, a new item listing is received. The item listing may correspond to a request to list an item for sale on an e-commerce website. Item-related data for the item listing may be extracted. The item-related data can be used by a model to classify the new item listing. The model may be trained on data comprising identifications of which item listings in the sample of item listings are suspicious and identifications of which item listings in the sample of item listings are not suspicious may be received.

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 system and method of identifying suspicious item-related features are disclosed. In some embodiments, a new item listing is received. The item listing may correspond to a request to list an item for sale on an e-commerce website. Item-related data for the item listing may be extracted. The item-related data can be used by a model to classify the new item listing. The model may be trained on data comprising identifications of which item listings in the sample of item listings are suspicious and identifications of which item listings in the sample of item listings are not suspicious may be received.

Abstract: A method and system to automatically categorize a merchant listing in an electronic marketplace are provided. The method includes parsing the category information submitted by a seller to derive a first category identifier. A first search is performed to locate the first category identifier in a first database containing a listing of category identifiers. If no match is found, the first category identifier is identified as expired or invalid. A second search is performed on a second database that includes mapping information of an expired category identifier to a new category identifier. If a match is found, the first category identifier is assigned as the new category identifier, thereby enabling the listing to be listed in the updated category automatically.

Abstract: A system and method of identifying suspicious item-related features are disclosed. In some embodiments, a sample of item listings is received. Each item listing in the sample of item listings may correspond to an item offered for sale on an e-commerce website. Item-related data for each item listing in the sample of item listings may be extracted. Training data comprising identifications of which item listings in the sample of item listings are suspicious and identifications of which item listings in the sample of item listings are not suspicious may be received. A model for classifying a candidate item listing on the e-commerce website as being suspicious may be determined using the training data.

Abstract: A system and method of providing related search queries are disclosed. A new item listing is identified based on a determination that the new item listing lacks a predetermined minimum amount of clickstream data. Similar item listings for the new item listing is determined from a plurality of old item listings based on at least one item feature of the new item listing and the plurality of old item listings. The plurality of old item listings comprises live item listings and completed item listings. Each old item listing has at least the predetermined minimum amount of clickstream data. Related search queries of the similar item listings are associated with the new item listing. The related search queries for the new item listing are provided along with the new item listing to a user on a client device.

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 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: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.

Abstract: A method and system to automatically categorize a merchant listing in an electronic marketplace are provided. The method includes parsing the category information submitted by a seller to derive a first category identifier. A first search is performed to locate the first category identifier in a first database containing a listing of category identifiers. If no match is found, the first category identifier is identified as expired or invalid. A second search is performed on a second database that includes mapping information of an expired category identifier to a new category identifier. If a match is found, the first category identifier is assigned as the new category identifier, thereby enabling the listing to be listed in the updated category automatically.

Abstract: Various embodiments disclose methods and systems to categorize automatically a merchant listing. In one example, the method includes determining a first category identifier for the merchant listing by performing a first search to compare the first category identifier with a plurality of category identifiers in a first database. Based on a determination that no match was found as a result of the first search, a second search is performed to compare the first category identifier with a plurality of category relationships in a second database. A second category identifier of the merchant listing is provided in response to a match being found in the second search and the second category identifier is associated with the merchant listing. Other methods and systems are disclosed.

Abstract: A system and method of providing related search queries are disclosed. A new item listing is identified based on a determination that the new item listing lacks a predetermined minimum amount of clickstream data. Similar item listings for the new item listing is determined from a plurality of old item listings based on at least one item feature of the new item listing and the plurality of old item listings. The plurality of old item listings comprises live item listings and completed item listings. Each old item listing has at least the predetermined minimum amount of clickstream data. Related search queries of the similar item listings are associated with the new item listing. The related search queries for the new item listing are provided along with the new item listing to a user on a client device.

Abstract: A system and method of providing related search queries are disclosed. A new item listing is identified based on a determination that the new item listing lacks a predetermined minimum amount of clickstream data. Similar item listings for the new item listing is determined from a plurality of old item listings based on at least one item feature of the new item listing and the plurality of old item listings. The plurality of old item listings comprises live item listings and completed item listings. Each old item listing has at least the predetermined minimum amount of clickstream data. Related search queries of the similar item listings are associated with the new item listing. The related search queries for the new item listing are provided along with the new item listing to a user on a client device.

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: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.

Abstract: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.

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 system and method of query expansion are disclosed. A query expansion source, a query expansion candidate, and feature data for the query expansion source and the query expansion candidate are received. The feature data comprises information for a plurality of features. A determination is made as to whether the query expansion candidate qualifies as an expansion of the query expansion source based on an analysis of the information for the plurality of features. The query expansion candidate is assigned as an expanded query of the query expansion source in a query expansion dictionary in response to a determination that the query expansion candidate qualifies as an expansion of the query expansion source.

Abstract: A system and method of identifying suspicious item-related features are disclosed. In some embodiments, a sample of item listings is received. Each item listing in the sample of item listings may correspond to an item offered for sale on an e-commerce website. Item-related data for each item listing in the sample of item listings may be extracted. Training data comprising identifications of which item listings in the sample of item listings are suspicious and identifications of which item listings in the sample of item listings are not suspicious may be received. A model for classifying a candidate item listing on the e-commerce website as being suspicious may be determined using the training data.

Abstract: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.