Abstract: In embodiments, a ground truth table is used to help determine the relevance of a set of search results from a search query. The ground truth table comprises numerous items, along with a corresponding relevancy ranking for each item. Based on the user interaction with the set of search results, the ground truth table is modified, such that subsequent search queries provide improved results over time. The user interactions can include a click-through action, in which case a user clicked on (or otherwise selected) a search result entry. The user interactions can include a purchase action, wish list addition action, favorite list addition action, and/or a share action, among others. Based on the user interactions, the ranking of an entry in the ground truth table is adjusted. Then, subsequent searches that use the modified ground truth table can provide improved search results.

Abstract: Disclosed aspects include geo-fence management using a cluster analysis technique. A set of dynamic user data is received from a set of users. The cluster analysis technique may be used to process the set of dynamic user data. Accordingly, a geo-fence opportunity event is detected using the cluster analysis technique. Based on a selection criterion with respect to the geo-fence opportunity event, it is determined to provide an opportunity for a subset of the set of users. In response to making the determination, the opportunity can be provided for/to the subset of the set of users.

Abstract: In embodiments, a ground truth table is used to help determine the relevance of a set of search results from a search query. The ground truth table comprises numerous items, along with a corresponding relevancy ranking for each item. Based on the user interaction with the set of search results, the ground truth table is modified, such that subsequent search queries provide improved results over time. The user interactions can include a click-through action, in which case a user clicked on (or otherwise selected) a search result entry. The user interactions can include a purchase action, wish list addition action, favorite list addition action, and/or a share action, among others. Based on the user interactions, the ranking of an entry in the ground truth table is adjusted. Then, subsequent searches that use the modified ground truth table can provide improved search results.

Abstract: Disclosed aspects include geo-fence management using a cluster analysis technique. A set of dynamic user data is received from a set of users. The cluster analysis technique may be used to process the set of dynamic user data. Accordingly, a geo-fence opportunity event is detected using the cluster analysis technique. Based on a selection criterion with respect to the geo-fence opportunity event, it is determined to provide an opportunity for a subset of the set of users. In response to making the determination, the opportunity can be provided for/to the subset of the set of users.

Abstract: Disclosed aspects include geo-fence management using a cluster analysis technique. A set of dynamic user data is received from a set of users. The set of dynamic user data may have identification information which identifies one or more users, location information which indicates location for one or more users, and context information which indicates application context for one or more users. The cluster analysis technique may be used to process the set of dynamic user data. Accordingly, a geo-fence opportunity event is detected using the cluster analysis technique. Based on a selection criterion with respect to the geo-fence opportunity event, it is determined to provide an opportunity for a subset of the set of users. In response to making the determination, the opportunity can be provided for/to the subset of the set of users (e.g., sending a notification to the subset of the set of users).

Abstract: Disclosed aspects include geo-fence management using a cluster analysis technique. A set of dynamic user data is received from a set of users. The set of dynamic user data may have identification information which identifies one or more users, location information which indicates location for one or more users, and context information which indicates application context for one or more users. The cluster analysis technique may be used to process the set of dynamic user data. Accordingly, a geo-fence opportunity event is detected using the cluster analysis technique. Based on a selection criterion with respect to the geo-fence opportunity event, it is determined to provide an opportunity for a subset of the set of users. In response to making the determination, the opportunity can be provided for/to the subset of the set of users (e.g., sending a notification to the subset of the set of users).

Abstract: The present invention relates to a system and method for a retail collaboration network platform. In some embodiments, the system and method for a retail collaboration network platform includes a portal which the user is able to log in to via a network. The system includes connectivity to a plurality of retailer and vendor analytic tools. These analytic tools may include tools for promotion analysis, price optimization, product assortment, and market analysis. In addition to analytic tools, the platform may include collaborative tools which may interface with the analytic tools. These collaborative tools enable retailers and vendors to work together and with partners to share information and develop and implement strategies based on analytic tools to achieve their respective business objectives. The collaborative tools may be enabled to create at least one workgroup, generate a contact list, monitor the workgroup and contact list for activity and display any such activity.

Abstract: A multi-board computer system is described which comprises a main circuit board, a first circuit board having a third surface and a fourth surface opposite the third surface, and a second circuit board having a fifth surface. The main circuit board further includes means for generating a first board select signal to select the first circuit board and a second board select signal to select the second board. The first circuit board further includes a first input pin and a second input pin on the third surface, and a first output pin on the fourth surface. The first input pin corresponds to the first output pin. The first input pin is coupled to receive the first board select signal, and the second input pin is coupled to receive the second board select signal. The first circuit board is selected when it receives the first board select signal at the first input pin. The second circuit board further includes a third input pin. The third input pin is coupled to the first output pin of the first circuit board.