Described herein are various embodiments for customizing search results in a multi-content source environment. An embodiment operates by receiving input corresponding to a search from a user and retrieving a content history indicating which content was previously viewed by the user. It is determined that the content of the content history is organized into one or more preconfigured categories. A new category of content is generated based on the content history for the user. The content of the content history for user is arranged based on both the new category and at least a subset of the one or more preconfigured categories. The arranged content is displayed in a manner customized to the user.

The methods and systems described herein aid users by providing thorough and efficient content consumption. For example, the methods and systems buffer content segments related to a current portion of the content that the system is generating for display. The methods and systems determine a characteristic of the current portion of the content and related content segments based on the characteristic. Confidence scores are determined by the systems and methods for each of the related content segments, and one or more related content segments with higher confidence scores are buffered in memory. Accordingly, the methods and systems described herein provide a thorough viewing of content through related segments that are buffered in memory for quick access.

A user device includes a viewer tracking module that tracks viewer events to form a viewer tracking log and a recommendation module that generates a timeslot viewing profile based on the viewer tracking log. The timeslot viewing profile includes television programs watched previously and a prioritized timeslot series profile determined by summing and prioritizing the count of a plurality of watched programs in a series. The recommendation module compares the timeslot viewing profile of available television programs during the timeslot, generates a first content recommendation list of available television programs, receives related content identifiers for related content that identify content that is available and is related to the television programs of the first content recommendation, and, based on the related content identifiers, generates a second content recommendation list including content that is available during the timeslot different from the first content recommendation list.

In one embodiment, an image analysis is performed on an image captured using a camera mounted on an autonomous vehicle, the image representing an exterior environment of an autonomous vehicle. Localization information surrounding the autonomous vehicle is obtained at a point in time. A perception of an audience external to the autonomous vehicle is determined based on the image analysis and the localization information. One or more content items are received from one or more content servers over a network in response to the perception of the audience. A first content item selected from the one or more content items is displayed on a display device mounted on an exterior surface of the autonomous vehicle.

A video recommending method, including: obtaining videos, the video including long videos and short videos; obtaining a subset of the long videos, of which video attribute values are greater than corresponding attribute thresholds; obtaining a watching record of a user, and obtaining similarities between the short videos and videos in the watching record, to extract a preset quantity of short videos having highest similarities; and recommending the subset of the long videos, of which video attribute values are greater than corresponding attribute thresholds, to the user, and/or recommending the preset quantity of short videos having highest similarities to the user.

A user is enabled to interact with a virtual world environment using an instant messenger application by enabling a user to enter the virtual world environment using the instant messenger application that includes an instant messaging (IM) user interface, generating and managing an avatar to represent the user in the virtual world environment, monitoring a sub-portion of the virtual world environment corresponding to a current location of the user in the virtual world environment, determining descriptions of activities taking place in the sub-portion of the virtual world environment based on the monitoring, and providing the user with the determined descriptions of activities taking place in the sub-portion of the virtual world environment via the IM user interface.

Example apparatus disclosed herein are to determine a location of a portable device based on location data collected by the portable device, determine whether a person is within a threshold distance of the portable device based on proximity data collected by the portable device, and, when the person is determined to be within the threshold distance of the portable device: (i) infer at least one of a presence or an absence of the person in a media exposure environment based on the location of the portable device, (ii) determine a confidence level that the person corresponds to a member of the panelist household, and (iii) determine an accuracy of presence information collected by a people meter based on the confidence level and the inference of the at least one of the presence or the absence of the person, the people meter different than the portable device.

Methods and systems are disclosed herein for a media guidance application that alerts a user to the appearance of objects in media content that may be of interest to the user. For example, as media content progresses, the media guidance application may determine objects that may interest a user. The media guidance application may record the number of determined objects and present the number to the user as well as supplemental content associated with each object.

An electronic apparatus includes a processor. The processor is configured to: obtain information about weighted values respectively assigned to a plurality of items having values that represent content features of a plurality of pieces of content, wherein the weighted values are assigned as higher weight values to items corresponding to the content features preferred by according to genres of content; identify a user content viewed by a user of the electronic apparatus; calculate similarities in values of the plurality of items, respectively, between a plurality of pieces of recommendable content and the user content, respectively; calculate recommendation scores of the plurality of pieces of content, based on the calculated similarities and the weighted values assigned to the items according to the genres; and perform a recommendation operation for one or more content pieces, of which the calculated recommendation score is equal to or higher than a preset ranking.

Methods and systems are described for recognizing an activity and providing content for consumption during the activity. The methods and systems use an activity engine to learn a duration of an activity by receiving input with a start cue indicating a start of an activity and receiving input with a stop cue indicating an end of the activity. The activity engine determines an average or estimated duration for the activity based on the time difference between the start cue and the stop cue so that when the activity engine receives a third input and identifies the start cue, a content curation engine identifies one or more content items with a total runtime substantially similar to the average or estimated duration for the activity and provides the content for consumption.