Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: Systems and methods of visual mining of user behavior patterns are disclosed. A plurality of clickstreams may be received. Each clickstream may represent a corresponding sequence of user actions. A visual representation of each clickstream may be caused to be displayed on a device. Each visual representation may comprise a distinct graphical element for each user action of the corresponding clickstream, and each visual representation may be configured to indicate a frequency level of the corresponding clickstream. Each distinct graphical element may comprise a geometric shape and a corresponding color that distinctly represents the corresponding user action. Graphical elements of each visual representation may comprise a size that is proportional to the frequency level of the corresponding clickstream. An indication of a selection of one of the visual representations may be received, and additional information about the corresponding clickstream may be caused to be displayed on the device.

Abstract: Systems and methods of visual mining of user behavior patterns are disclosed. A plurality of clickstreams may be received. Each clickstream may represent a corresponding sequence of user actions. A visual representation of each clickstream may be caused to be displayed on a device. Each visual representation may comprise a distinct graphical element for each user action of the corresponding clickstream, and each visual representation may be configured to indicate a frequency level of the corresponding clickstream. Each distinct graphical element may comprise a geometric shape and a corresponding color that distinctly represents the corresponding user action. Graphical elements of each visual representation may comprise a size that is proportional to the frequency level of the corresponding clickstream. An indication of a selection of one of the visual representations may be received, and additional information about the corresponding clickstream may be caused to be displayed on the device.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: Systems and methods of visual mining of user behavior patterns are disclosed. A plurality of clickstreams may be received. Each clickstream may represent a corresponding sequence of user actions. A visual representation of each clickstream may be caused to be displayed on a device. Each visual representation may comprise a distinct graphical element for each user action of the corresponding clickstream, and each visual representation may be configured to indicate a frequency level of the corresponding clickstream. Each distinct graphical element may comprise a geometric shape and a corresponding color that distinctly represents the corresponding user action. Graphical elements of each visual representation may comprise a size that is proportional to the frequency level of the corresponding clickstream. An indication of a selection of one of the visual representations may be received, and additional information about the corresponding clickstream may be caused to be displayed on the device.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: Systems and methods of visual mining of user behavior patterns are disclosed. A plurality of clickstreams may be received. Each clickstream may represent a corresponding sequence of user actions. A visual representation of each clickstream may be caused to be displayed on a device. Each visual representation may comprise a distinct graphical element for each user action of the corresponding clickstream, and each visual representation may be configured to indicate a frequency level of the corresponding clickstream. Each distinct graphical element may comprise a geometric shape and a corresponding color that distinctly represents the corresponding user action. Graphical elements of each visual representation may comprise a size that is proportional to the frequency level of the corresponding clickstream. An indication of a selection of one of the visual representations may be received, and additional information about the corresponding clickstream may be caused to be displayed on the device.

Abstract: Systems and methods of visual mining of user behavior patterns are disclosed. A plurality of clickstreams may be received. Each clickstream may represent a corresponding sequence of user actions. A visual representation of each clickstream may be caused to be displayed on a device. Each visual representation may comprise a distinct graphical element for each user action of the corresponding clickstream, and each visual representation may be configured to indicate a frequency level of the corresponding clickstream. Each distinct graphical element may comprise a geometric shape and a corresponding color that distinctly represents the corresponding user action. Graphical elements of each visual representation may comprise a size that is proportional to the frequency level of the corresponding clickstream. An indication of a selection of one of the visual representations may be received, and additional information about the corresponding clickstream may be caused to be displayed on the device.

Abstract: A method and system analyze data associated with a marketplace category. In some embodiments, a query is received that identifies a marketplace category from multiple marketplace categories associated with an electronic commerce marketplace. Data associated with the marketplace category is accessed and analyzed to identify multiple keywords used to identify listings in the marketplace category. A user interface is generated to display the analysis results, including at least a portion of the multiple keywords used to identify listings in the marketplace category.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: Methods and systems relating to a reseller analysis tool are described. In some embodiments, transaction information associated with a plurality of transactions occurring using a server system is received at the server system. A set of currently pending or completed resale transactions from the plurality of transactions is identified using the transaction information based on resale criteria capable of indicating a sale of an item by an entity that previously purchased the item. A set of rules associated with resale transactions is generated, including generating the set of rules based on the transaction information associated with the set of resale transactions. Based on the set of rules, user transaction information relevant to a currently pending transaction associated with a user is provided.

Abstract: Methods and systems relating to a reseller analysis tool are described. In some embodiments, electronic commerce transaction information associated with a plurality of electronic commerce transactions occurring using an electronic commerce system is received at the electronic commerce system. A set of resale transactions from the plurality of electronic commerce transactions is identified using the electronic commerce transaction information, including identifying the set of resale transactions based on resale criteria capable of indicating a sale of an item by an entity that previously purchased the item using the electronic commerce transaction system. A set of rules associated with resale transactions is generated, including generating the set of rules based on the electronic commerce transaction information associated with the set of resale transactions. Based on the set of rules, user transaction information relevant to a transaction associated with a user is provided.

Abstract: In various example embodiments, a system and method for personalization of search results are provided. In example embodiments, a query that triggers a search of a data storage device of a publication system that comprises a plurality of publications is received and a search performed to determine a result set of publications. Optimization preferences of the user are accessed and applied to the result set obtained based on the query to generate a personalized result set. The personalized result set is presented on a user interface of a device of the user.

Abstract: In various example embodiments, a system and method for personalization of search results are provided. In example embodiments, a user interface that allows a user to establish optimization preferences used to personalize results based on a query is provided. The optimization preferences include values that are a portion of a total allowed value assigned to interrelated optimization factors. The optimization preferences are received via the user interface. The optimization preferences are applied to matches obtained based on the query to generate a personalized result set.

Abstract: A method and system analyze session data. In some embodiments, the method includes receiving a request to analyze session data that includes a user-defined data segmentation setting that includes a restriction on the analysis. The method further includes aggregating the session data based on the user-defined data segmentation setting. The method then generates a graphical representation of the aggregated session data.

Abstract: A method and system analyze session data. In some embodiments, the method accesses session data, identifies multiple sessions contained in the session data, and identifies multiple events that occurred within each of the multiple sessions. The method determines a temporal relationship between the multiple events in each session and analyzes the multiple sessions to aggregate events associated with the multiple sessions. The method then generates a graphical representation of the aggregated events.

Abstract: A method and system analyze marketplace listing strategies. In some embodiments, the method accesses data associated with multiple marketplace listings. Each marketplace listing is associated with a product category. A state-action model, associated with the product category, is created based on the data associated with the multiple marketplace listings. The state-action model is then analyzed to identify a marketplace listing strategy associated with the product category.

Abstract: Methods and system for social commerce network analysis are described. In one embodiment, a strongly connected component value, an in-component value, an out-component value, a disconnected component value, a tendril value, and a tube value of a social network for a time period may be accessed. A social strength of the social network for the time period may be calculated by combining the strongly connected component value, the in-component value, the out-component value, the disconnected component value, the tendril value, and the tube value. The social strength of the social network for the time period may be utilized for analysis of the social network. The strongly connected component value may have a greatest weight and the disconnected component value may have the lowest weight in the combining.

Abstract: Systems and methods of visual mining of user behavior patterns are disclosed. A plurality of clickstreams may be received. Each clickstream may represent a corresponding sequence of user actions. A visual representation of each clickstream may be caused to be displayed on a device. Each visual representation may comprise a distinct graphical element for each user action of the corresponding clickstream, and each visual representation may be configured to indicate a frequency level of the corresponding clickstream. Each distinct graphical element may comprise a geometric shape and a corresponding color that distinctly represents the corresponding user action. Graphical elements of each visual representation may comprise a size that is proportional to the frequency level of the corresponding clickstream. An indication of a selection of one of the visual representations may be received, and additional information about the corresponding clickstream may be caused to be displayed on the device.

Abstract: A method and system analyze marketplace listing strategies. In some embodiments, the method accesses data associated with multiple marketplace listings. Each marketplace listing is associated with a product category. A state-action model, associated with the product category, is created based on the data associated with the multiple marketplace listings. The state-action model is then analyzed to identify a marketplace listing strategy associated with the product category.