Abstract:
Systems and methods for analyzing the content of online conversations using data mining technologies are provided. Methods and systems for utilizing the results of data mining technology implementation to retrieve relevant advertising content and/or other relevant information for display in association with the content of an online conversation are also provided.
Abstract:
The claimed subject matter relates to an architecture that can characterize an item involved in a consumer transaction and/or a behavior of a consumer as a virtual financial instrument. The architecture can monitor the future performance of the virtual instrument in order to identify trendspotters as well as trend followers in a particular market domain.
Abstract:
The user interfaces, methods and systems described herein facilitate user interaction with an ad space by conveying additional advertising content via a preview pane and facilitate automatically generating the content of the preview pane. By way of example, an electronic advertisement is conveyed to a user in an ad space provided by a third party, and a secondary advertisement generating component automatically generates at least part of the content of a secondary advertisement. The secondary advertisement provides content associated with the electronic advertisement and occurs upon receiving a user indication. A context acquiring component also may provide context information to the secondary advertisement generating component to automatically generate at least part of the content of the secondary advertisement.
Abstract:
Systems, methods, and computer-storage media for generating contextual queries are provided. The system includes a search engine to receive user queries and contexts, a query understanding component to generate a semantic representation of the query, and a data source command generator to transform the semantic representation into commands for multiple data sources. The data source command generator is connected to the query understanding component. The data source command generator selects data source commands based on lexical information associated with each data source.
Abstract:
According to embodiments of the invention, an advertisement-generation system generates image-containing advertisements. The advertisement-generation system includes: at least one feature-selection guideline that specifies at least one recommended feature for image- containing advertisements based on advertiser inputs that specify at least one of advertisement-target-audience information, cost information, and advertiser-industry information; an image-clip library from which images are selected for inclusion in the image-containing advertisements; and at least one advertisement template that is based on the at least one feature-selection guideline; wherein the system automatically generates image-containing advertisements that contain one or more suggested colors that are automatically suggested based on one or more colors present on a web page that will host the image-containing advertisement.
Abstract:
The claimed subject matter relates to an architecture that can quantify a value of a consumer transaction to a market ecosystem. The value to the ecosystem of the transaction can be based upon features of the transaction as well as dynamics unique to the ecosystem. In addition, the value can be monetized as well as aggregated in order to produce a net economic value of a set of transactions involving a particular consumer. The architecture can further facilitate a repatriation of all or portions of the net economic value to the consumer, potentially based upon ranking and/or loyalty tiers.
Abstract:
A code is included in content, which code allows a user to use a comment tool to select some or all of the content, to create and submit comments, and to view previously submitted content selections and comments in conjunction with additional content. The additional content may comprise advertisements.
Abstract:
The claimed subject matter relates to an architecture or extension to an operating system (or component thereof) that can facilitate extensible themes for or advertising integration with a desktop that is managed by the operating system. In particular, the architecture can acquire advertisement content such as ads or advertiser skins, select suitable content for display, and configure the operating system to display the selected content. The architecture also provides mechanisms for identifying suitable locations as well as appropriate time for displaying the content.
Abstract:
Seed keywords are leveraged to provide expanded keywords that are then associated with relevant advertisers. Instances can also include locating potential advertisers based on the expanded keywords. Inverse lookup techniques are employed to determine which keywords are associated with an advertiser. Filtering can then be employed to eliminate inappropriate keywords for that advertiser. The keywords are then automatically revealed to the advertiser for consideration as relevant search terms for their advertisements. In this manner, revenue for a search engine and/or for an advertiser can be substantially enhanced through the automatic expansion of relevant search terms. Advertisers also benefit by having larger and more relevant search term selections automatically available to them, saving them both time and money.
Abstract:
Advertisements are selected for presentation on a search results page based on the presence or absence of user activity within the search results page. When a search results page is provided to an end user, the search results page is tracked for user activity. If user activity is detected, a user context is identified and new advertisements are selected for presentation on the search results page based on the user context. In some embodiments, the search results page provides search results in clusters, and the user context corresponds with a search result cluster selected by an end user. In some embodiments, dominant concepts in the user context are identified and used to select advertisements. Alternatively, if user activity is not detected within a predetermined period of time, new advertisements are selected based on the absence of user activity within the search results page.