公开(公告)号：US11475080B2

公开(公告)日：2022-10-18

申请号：US16561554

申请日：2019-09-05

Applicant: Verizon Patent and Licensing Inc.

Inventor： Haripriya Srinivasaraghavan ,  Praveen Kumar Bandaru

IPC: G06F40/295 ,  G06F16/9532 ,  G06F16/9535 ,  G06F16/9538 ,  G06F40/30 ,  G06F40/205 ,  G06F3/0484

Abstract: A method, a device, and a non-transitory storage medium are described, which provide a natural language-based content search and discovery service. The natural language-based content search and discovery service may use query object types as a basis for interpreting a vocalized search query from a user. The natural language-based content search and discovery service may use a multi-interpretative procedure that includes use of a probabilistic grammar parser, parts of speech, and query object type identification that are configured for a media domain. The natural language-based content search and discovery service may merge different interpretations of the search query based on probability values associated with each interpretation.

公开(公告)号：US11275779B2

公开(公告)日：2022-03-15

申请号：US16928395

申请日：2020-07-14

Applicant: Verizon Patent and Licensing Inc.

Inventor： Haripriya Srinivasaraghavan ,  Senthil K. Raghavan ,  Praveen Kumar Bandaru

IPC: G06F16/438 ,  G06F16/435 ,  G06F16/28 ,  G06Q30/06 ,  G06F3/0482

Abstract: A method, a device, and a non-transitory storage medium for determining, based on media content selection activity of a user for a media content inventory, the user's sensitivity to a cost and to a relevance of the media content; assigning a cost value to respective media content items based on user-specific content cost information from media content providers; assigning a relevance value to the respective media content items based on user-specific content relevancy information associated with the respective media content items; ranking the media content items based on: the user's sensitivity to the cost of the media content relative to the cost values for the respective media content items, and the user's sensitivity to the relevance of the media content relative to the relevance values for the respective media content items; and presenting, via a personalized media content recommendation interface, an ordering of the media content items based on the ranking.