Amazon Technologies, Inc.

Brent M Barkman

Abhishek Dubey

Michael Sean Mayo

Neeti Gupta

Disclosed are various embodiments for analyzing searches of verbal media content associated with media content features. A relatively popular portion of a media content item is determined based at least in part on a dialogue of the relatively popular portion of the media content item being included in a plurality of dialogue search queries received from a plurality of client devices. The media content item is rendered via a client device, and a recommendation for an item is via the client device in response to the relatively popular portion of the media content item being rendered.

Analyzing user searches of verbal media content

Disclosed are various embodiments for analyzing searches of verbal media content associated with media content features. Custom abridgements of media content features may be generated based on user interest in a plurality of portions of the media content feature following the plurality of verbal media content searches. A recommendation for a portion of a media content feature may be sent to a first client based on an expression of interest by a second client in dialog featured in the portion of the media content feature but in a secondary language. The first client may be determined based on an association between the first client and the secondary language. A product can be recommended to a client based on a dialog search query, where the dialog of a media content search result contains a reference to the product or a similar product.

Disclosed are various embodiments for analyzing user searches of verbal media content associated with media content features. A search query is obtained from a user. Media content items are determined by executing a verbal media content search based at least in part on the search query. The media content items include verbal media content that is relevant to the search query. Data relating to the verbal media content search is stored. A user interest in media content is determined by analyzing the data relating to the verbal media content search.

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Seattle, WA, United States of America

Brent M Barkman