摘要:
Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate classifying user intent with respect to an entity using intent-strength scores. A user query indicating a particular entity is received. The user's intent with respect to the particular entity is determined by assigning an intent-strength score to the user. The user's intent-strength score is determined using intent-strength scores assigned to seed patterns identified for entities in a category, as well as the received user query. In embodiments, a user's intent-strength score may be updated based on a subsequent query, or may be changed according to a function. A list of users having particular intent-strength scores for particular entities may be also be generated.
摘要:
Embodiments of the present invention relate to systems, methods, and computer-storage media for providing a method of presenting advertisements to a target group of potential consumers generated from a group of seed consumers. In one embodiment, a target list request is received from an advertiser. A set of seed consumers associated with the advertiser is then determined. A set of potential consumers is then determined based on the set of seed consumers. Further, a subset of the set of potential consumers is determined, each potential consumer of the subset having a common characteristic. A target list of potential consumers is then generated comprising at least a portion of the subset of potential consumers. The target list of potential consumers is then provided to the advertiser.
摘要:
Described herein are techniques and components for displaying a text advertisement in an online video being viewed by a user. The advertisement is selected based on keywords associated with the online video or the user, and the selected advertisement is presented as an overlay on the rendered video over regions of frames determined to be less important in the video. To determine importance, every frame of the online video is divided into grids, and parameters of the visual data in each grid are analyzed. Based on the analysis of each grid, regions in successive frames are identified to display the selected advertisement.