Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

Improved search capabilities are disclosed for mobile communications devices such as cell phones, as well as improved techniques for delivering sponsored content in a mobile communication environment.

Managing Sponsored Content Based on Usage History

In embodiments of the present invention improved capabilities are described for using a monetization platform server to associate sponsored content with contextual information relating to mobile content, and storing the sponsored content-contextual information association in a data facility for future use in optimizing the delivery of a sponsored content to a mobile communication facility based at least in part on a display datum associated with the mobile communication facility, wherein the display datum includes a contextual datum.

Contextual targeting of content using a monetization platform

Improved mobile content presentation capabilities are disclosed for mobile communications facilities, such as cell phones. Information relating to the user characteristics associated with a mobile communication facility and other capabilities are employed to improve the presentation and relevance of mobile content to appropriate or desirable mobile communication facilities.

User characteristic influenced search results

An aspect of the present invention relates to systems and methods for indexing mobile content, wherein the indexing is based at least in part on compatibility between the content and a mobile communication facility.

Mobile content spidering and compatibility determination

Computer processes are disclosed for identifying and informing users of early adopter items. In one embodiment, scores are generated for particular items represented in an electronic catalog, with each score reflecting an extent to which a corresponding item has been ordered by customers who tend to order items promptly after they become available. Information pertaining to such scores may be incorporated into item detail pages of the electronic catalog to assist customers in making item selection decisions. For example, the electronic catalog may identify specific items as early adopter items, and/or may display information pertaining to the degree to which specific items are early adopter items.

Identifying early adopters and items adopted by them

Market research has shown that consumers exhibit a variety of different purchasing behaviors; specifically, some tend to purchase products earlier than other consumers. Identifying such early buyers can help personalize marketing strategies, potentially improving their effectiveness. In this paper, we present a non-parametric approach to the problem of identifying early buyers from purchase data. Our formulation takes as inputs the detailed purchase information of each consumer, with which we construct a weighted directed graph whose nodes correspond to consumers and whose edges correspond to purchases consumers have in common; the edge weights indicate how frequently consumers purchase products earlier than other consumers.Identifying early buyers corresponds to the problem of finding a subset of nodes in the graph with maximum difference between the weights of the outgoing and incoming edges. This problem is a variation of the maximum cut problem in a directed graph. We provide an approximation algorithm based on semidefinite programming (SDP) relaxations pioneered by Goemans and Williamson, and analyze its performance. We apply the algorithm to real purchase data from Amazon.com, providing new insights into consumer behaviors.

Shenghuo Zhu

Papers

Identifying early adopters and items adopted by them

Identifying early buyers from purchase data