Methods, systems, and media for presenting recommended content based on social cues are provided. In accordance with some embodiments, a method for presenting recommended content is provided comprising: receiving a query associated with a user; generating a list of relevant media content items based on the query; selecting items for presentation to the user based on social relevance scores based on social connections of the user that have consumed a relevant item and contextual relevance scores for each item; causing the selected items to be presented to the user; and indicating that a particular item was consumed by a particular social connection.

Methods, systems, and media for presenting recommended content based on social cues are provided. In accordance with some embodiments, a method for presenting recommended content is provided comprising: receiving a query associated with a user; generating a list of relevant media content items based on the query; selecting items for presentation to the user based on social relevance scores based on social connections of the user that have consumed a relevant item and contextual relevance scores for each item; causing the selected items to be presented to the user; and indicating that a particular item was consumed by a particular social connection.

Methods, apparatus, systems and articles of manufacture are disclosed for a window-metric rule for return path data (RPD). In some examples, a media monitor includes a count calculator to determine a first count of a number of devices in a first household that reported RPD for a first day. The example media monitor also includes an RPD selector to compare the first count to a current window-metric, the current window-metric associated with a window of time for the first household, the window of time associated with a content provider and having N number of days. The example RPD selector the RPD from the first household for the first day when the first count does not satisfy the current window-metric. The example media monitor also includes a report generator to generate a media exposure report using the RPD from the first household for the first day when the first count satisfies the current window-metric, independent of if the first household has heartbeat data available.

Systems and methods provide for receiving a request for an alternate data stream of a plurality of individual data streams than an active data stream currently being displayed on a computing device, during display on the computing device of a stitched data steam comprising the plurality of individual data streams associated with a common audio timeline. The systems and methods further providing for determining a subset of the plurality of individual data streams of the stitched data stream associated with a time period of the active data stream in the common audio timeline, selecting the alternate data stream from the subset of the plurality of individual data streams, and providing the alternate data stream to the computing device, wherein the display of the active data stream on the computing device transitions to the alternate data stream on the computing device in the common audio timeline.

Aspects of the present disclosure relate to machine learning techniques for continuous implementation and training of a machine learning system for identifying the natural language meaning of visual content. A computer vision model or other suitable machine learning model can predict whether a given descriptor is associated with the visual content. A set of such models can be used to determine whether particular ones of a set of descriptors are associated with the visual content, with the determined descriptors representing a meaning of the visual content. This meaning can be refined based on a multi-armed bandit tracking and analyzing interactions between the visual content and users associated with certain personas related to the determined descriptors.

A keyword to be categorized is received. A category dictionary including categories having associated registered keywords, and a text corpus are received. Registered keywords are identified in the category dictionary having a degree of similarity to the keyword to be categorized that is equal to or greater than a predetermined value, and the categories associated with the identified registered keywords are extracted. Registered keywords are identified that are co-occurring in the text corpus with the keyword to be categorized, and the categories associated with the identified co-occurring registered keywords are extracted. A degree of importance is determined for each extracted category based on a function of the identified registered keywords in the category dictionary and/or a function of the identified co-occurring registered keywords. The extracted categories are outputted, with at least an indication of each category's relative importance, as category candidates for categorizing the keyword to be categorized.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating search queries in response to obtaining audio samples on a client device. In one aspect, a method includes the actions of i) receiving audio data from a client device, ii) identifying specific content from captured media based on the received audio data, wherein the identified specific content is associated with the received audio data and the captured media includes at least one of audio media or audio-video media, iii) obtaining additional metadata associated with the identified content, iv) generating a search query based at least in part on the obtained additional metadata, and v) returning one or more search results to the client device, the one or more search results responsive to the search query and associated with the received audio data.

An example method involves (i) accessing first data representing text, wherein the text defines at least one position representing a particular type of grammatical break between two portions of the text; (ii) identifying, from among the at least one position, a position that is closest to a target position within the text; (iii) based on the identified position within the text, generating second data that represents a proper subset of the text, wherein the proper subset extends from an initial position within the text to the identified position within the text; and (iv) providing output based on the generated second data.

Example apparatus disclosed herein are to obtain, from a network monitor, an address associated with one or more network communications used to convey a media stream to a first input device of a plurality of input devices in communication with a media device, query one or more data structures based on the address to identify a first input source of the media device, the one or more data structures to map respective ones of the plurality of input devices to corresponding ones of a plurality of input sources of the media device, the plurality of input sources including the first input source, obtain a watermark from a meter that is to monitor an output of the media device, and identify the first input source of the media device as associated with media presented by the media device in response to determination that the watermark corresponds to the media stream.

Example apparatus disclosed herein are to obtain, from a network monitor, an address associated with one or more network communications used to convey a media stream to a first input device of a plurality of input devices in communication with a media device, query one or more data structures based on the address to identify a first input source of the media device, the one or more data structures to map respective ones of the plurality of input devices to corresponding ones of a plurality of input sources of the media device, the plurality of input sources including the first input source, obtain a watermark from a meter that is to monitor an output of the media device, and identify the first input source of the media device as associated with media presented by the media device in response to determination that the watermark corresponds to the media stream.