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 set of personalized search widgets for providing a customized user interface are provided. Among the personalized search widgets include a related searches menu to depict related search terms according to popularity and type. A query builder for explicitly including or excluding particular terms from the query may be provided. The search widgets may further include a history of past searches received from a user, a selection of categories to be searched, and one or more category suggestions. Some widgets associated with sellers allow a user to filter results according to a trusted seller status of the seller or the identity of the seller, and provide to the user a tag cloud including feedback about the seller. The results of a search may be presented in a spreadsheet style format.
Abstract:
A system receives context data associated with a context and a user. The system then associates the context data to a user identifier and retrieves data associated with the context. The system then filters the data according to the context data to create result data. In another embodiment, the system also receives context data from a plurality of users, where the context data pertains to one or more attributes of a context. The system then using the context data ranks the one or more attributes of the context to create ranked data and generates a user interface based on the ranked data. In yet another embodiment, the system communicates context data associated with a context and a user to a server, and receives result data created by the server filtering data retrieved based on the context data. The system then generates a user interface based on the result data.
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:
A system and method for determining relevancy for dynamic data sets is disclosed. A specific embodiment for use in an internet marketplace is presented wherein the relevancy for a descriptive factor associated with an item is increased when a user selects that item. To prevent abuse of the relevancy determination system, various embodiments incorporate abuse prevention measures. In one embodiment, a user's selection of the user's own items does not affect the relevancy system. In one embodiment, only a first selection of a particular item by a user will affect the relevancy system and any additional selections of that item will have no effect. In another embodiment, the size of the changes made due to the selections of particular user to the relevancy system are correlated to that user's reputation score.
Abstract:
An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.
Abstract:
Systems and methods for on demand local commerce are described. One example embodiment includes a device gathering location information and product interest associated with clients and client devices. The system may use location information in determining that the first plurality of client devices are within a first geographic area during a first time period, and may further use the interest information in calculating an interest level for a first product. A threshold may be identified and used in determining that the interest level for the first product exceeds the threshold. When the calculated interest level exceeds the threshold, a local commerce action is initiated. In various embodiments, the local commerce action may be a live on demand auction at a particular location, an offer associated with a geofenced area, a sales location recommendation to a merchant, or any other such local commerce action.
Abstract:
An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.
Abstract:
Methods, apparatus, and systems to determine a niche market of items or services, the first phase of which identifies a gap between demand and supply for a set of items. Session logs may be evaluated to compare transactions involving a specific item to those of a larger group of items. The resultant information identifies areas of high demand, but with low availability. The niche market information may be provided as direct merchandising items for sellers. In one example, the method generates niche market item web pages in specific categories. Additional methods, apparatus, and systems are disclosed.
Abstract:
Apparatus and method for providing contextual recommendations based on user state are disclosed herein. In some embodiments, sensor data corresponding to at least one sensor included in an item worn by a user is received. A user state is determined based on the received sensor data. In response to a state change being satisfied by at least the user state, a recommendation is determined based on the user state and a profile associated with the user. The recommendation may be presented on an electronic mobile device associated with the user.