Abstract: A user query for items is received in a first language and translated from the first language to a second language. A result set in the second language that meets the query is obtained and is translated into the first language for presentation to the user. User feedback is used to build an ontology for optimizing the translation from the first language to the second language based on query context and the feedback. Query context may include information determined by learning semantic relationships between keywords in the query. Optimizing may include building an ontology used by a machine translator to translate key words from the first language to the second language. The number of items in the result set are measured or information is abstracted from the feedback and correlated to ontological information of the result set. The system adapts to changes in meanings in the first language over time.

Abstract: Systems and methods for multi-dimensional query statement modification are described. A system presents a user interface including a first plurality of graphical elements representing a plurality of activity dimensions to a user. The system detects a user selection of a first activity dimension and a second user selection of a first attribute of the first activity dimension without a selection of the second attribute. The system searches objects using a search query based on the first activity dimension and the first attribute to return search results including a first object published on a network-based publication system by a client. The system provides a notification message to the user responsive to identifying feedback information that is received from a trading partner of the client as transgressing a first threshold. The feedback information is identified based on the first object and the second attribute that is not selected from the user interface.

Abstract: A user query for items is received in a first language and translated from the first language to a second language. A result set in the second language that meets the query is obtained and is translated into the first language for presentation to the user. User feedback is used to build an ontology for optimizing the translation from the first language to the second language based on query context and the feedback. Query context may include information determined by learning semantic relationships between keywords in the query. Optimizing may include building an ontology used by a machine translator to translate key words from the first language to the second language. The number of items in the result set are measured or information is abstracted from the feedback and correlated to ontological information of the result set. The system adapts to changes in meanings in the first language over time.

Abstract: Systems and methods for multi-dimensional query statement modification are described. A system presents a user interface including a first plurality of graphical elements representing a plurality of activity dimensions to a user. The system detects a user selection of a first activity dimension and a second user selection of a first attribute of the first activity dimension without a selection of the second attribute. The system searches objects using a search query based on the first activity dimension and the first attribute to return search results including a first object published on a network-based publication system by a client. The system provides a notification message to the user responsive to identifying feedback information that is received from a trading partner of the client as transgressing a first threshold. The feedback information is identified based on the first object and the second attribute that is not selected from the user interface.

Abstract: A user query for items is received in a first language and translated from the first language to a second language. A result set in the second language that meets the query is obtained and is translated into the first language for presentation to the user. User feedback is used to build an ontology for optimizing the translation from the first language to the second language based on query context and the feedback. Query context may include information determined by learning semantic relationships between keywords in the query. Optimizing may include building an ontology used by a machine translator to translate key words from the first language to the second language. The number of items in the result set are measured or information is abstracted from the feedback and correlated to ontological information of the result set. The system adapts to changes in meanings in the first language over time.

Abstract: Systems and methods for multi-dimensional query statement modification are described. A system presents a user interface including a first plurality of graphical elements representing a plurality of activity dimensions to a user. The system detects a user selection of a first activity dimension and a second user selection of a first attribute of the first activity dimension without a selection of the second attribute. The system searches objects using a search query based on the first activity dimension and the first attribute to return search results including a first object published on a network-based publication system by a client. The system provides a notification message to the user responsive to identifying feedback information that is received from a trading partner of the client as transgressing a first threshold. The feedback information is identified based on the first object and the second attribute that is not selected from the user interface.

Abstract: A user query for items is received in a first language and translated from the first language to a second language. A result set in the second language that meets the query is obtained and is translated into the first language for presentation to the user. User feedback is used to build an ontology for optimizing the translation from the first language to the second language based on query context and the feedback. Query context may include information determined by learning semantic relationships between keywords in the query. Optimizing may include building an ontology used by a machine translator to translate key words from the first language to the second language. The number of items in the result set are measured or information is abstracted from the feedback and correlated to ontological information of the result set. The system adapts to changes in meanings in the first language over time.

Abstract: Techniques for controlling visibility settings of data entities (for example but not limited to item listings, items, products and services, stock keeping units (SKUs) reviews, collections, lists, adverts, etc.) on a networked commerce system are described. According to various embodiments, a seller specification of an item is received, via a user interface, in connection with a request to post item information on a networked commerce system. Entity visibility compliance rules regarding the online sale of items in one or more regions are then accessed. Thereafter, the item specified by the seller is determined to be subject to a particular entity visibility compliance rule in a particular region. An entity visibility setting may then be adjusted for that item information throughout the networked commerce system in that particular region, based on the particular entity visibility compliance rule.

Abstract: In various embodiments, a system and method for providing cross-border transaction buying assistance are provided. In example embodiments, an option is presented to a cross-border buyer to purchase an item from a domestic networked commerce system using a buying agent. Based on a purchase of the item using the buying agent, instructions are sent to a seller of the item to ship the item to a domestic location corresponding to the buying agent. Once received by the buying agent, the buying agent is responsible for managing delivery of the item to the cross-border buyer from the domestic location.

Abstract: A method and a system for improving online reputation through education are provided. Example embodiments may include analyzing information related to a first entity associated with a transaction to derive present reputation data for the first entity and automatically taking action to educate the first entity in order to improve future reputation data. According to example embodiments, the system may include an analysis module, one or more database, an advice module, an action module and a user interface.

Abstract: A method and a system for searching objects using reputation information are provided. Example embodiments may include presenting multiple reputation dimensions and multiple attributes related to each of the reputation dimensions to a user. The method may also include detecting user selections of reputation dimensions and attributes related to the reputation dimensions and including selected attributes related to the reputation dimensions as criteria parts of search queries. Some example embodiments may include conducting a search of a database of objects using the search query to generate search results.

Abstract: Embodiments of configuring elements of a server of a product or server sales architecture in mechanisms are described generally herein including a server that may enable a seller to specify information about an item offered for purchase or bid and may display information to potential buyers about the item along with an indication of a repeat transaction rating for the seller based on transactions conducted by the server for the seller. Other embodiments may be described and claimed.

Abstract: Techniques for forming and operating a virtual community dispute resolution board are presented. A virtual community dispute resolution board is custom formed, in response to predefined criteria, to handle disputes that arise between members of a virtual community. Further, the dispute resolution board renders decisions on virtual community disputes in response to operating criteria.