Techniques are disclosed for implementing digital traffic data for analysis. In some examples, a telecommunications network determines an identity of a user associated with a user device that communicates with the telecommunications network. The telecommunications network identifies a physical location of the user device based on the user device communicating with a first transceiver of the telecommunications network. Then, the telecommunications network determines that the physical location of the user device corresponds to a first commercial location, and stores an indication that the user has visited the first commercial location.

Methods, systems, and media for estimating the causal effect of different content exposure levels are provided.

One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

A control apparatus includes a controller configured to determine whether a user who travels in a vehicle has stopped off at a place different from a destination, with reference to positional data indicating a position of the user, the user having accepted a recommendation to stop off at the place using the vehicle, the recommendation being presented together with an advertisement promoting the place.

In one implementation a method of transmitting a multimedia file over a data network is provided that involves receiving from a device in a data network a first message in a first protocol that request first data associated with the multimedia file, the first data being useable by the device to establish a streaming session that involves a transmission of the multimedia file. The first message includes identifying data of a referring site. The method also involves transmitting to the device the first data and optionally the identifying data of the referring site and then receiving from the device a second message in a second protocol for the purpose of creating a streaming session associated with the multimedia file. A streaming session is then created for transmitting the multimedia file to the device. In another implementation a method is provided that involves receiving in a computing device from a referring site an identifier of first data associated with a multimedia file and identifying data of the referring site, wherein the first data is useable for establishing a streaming session for downloading the multimedia file. The method further involves transmitting from the computing device a first message in a first protocol that requests the first data associated with the multimedia file and receiving in the computing device the first data. Upon receiving the first data the computing device transmits a second message in a second protocol for the purpose of creating the streaming session associated with the multimedia file, the second message including the first data and the identifying data of the referring site. The computing device then receives via the streaming session, all or a portion of the multimedia file. In some implementations, the first protocol and the second protocol are the same.

Media monitoring and measurement systems and methods are disclosed. Some embodiments of the present invention provide a media measurement system and method that utilizes audience data to enhance content identifications. Some embodiments analyze media player log data to enhance content identification. Other embodiments of the present invention analyze sample sequence data to enhance content identifications. Other embodiments analyze sequence data to enhance content identification and/or to establish channel identification. Yet other embodiments provide a system and method in which sample construction and selection parameters are adjusted based upon identification results. Yet other embodiments provide a method in which play-altering activity of an audience member is deduced from content offset values of identifications corresponding to captured samples. Yet other embodiments provide a monitoring and measurement system in which a media monitoring device is adapted to receive a wireless or non-wireless audio signal from a media player, the audio signal also being received wirelessly by headphones of a user of the monitoring device.

One or more aspects of the present disclosure are directed to a digital social medial platform configured to automatically identify and tag elements in an upload content using machine learning techniques. In one aspect, a method includes receive media content; automatically identify one or more elements and associated metadata in the media content using a machine learning technique; embed one or more hashtags within the media content, each of which corresponds to one of the one or more elements identified in the media content; publish the media content with the one or more hashtags; track engagements of one or more users with the media content having the one or more hashtag to yield a set of statistics; and generate a user-specific loyalty identifier for a user associated with the media content, based on the set of statistics.

A method applied to outdoor advertising for displaying a particular advertisement or particular type based on visitor flow includes acquiring images in a predetermined time duration, identifying specified targets in the acquired images, and counting members of specified target as different target member flows. A category of advertising content is matched based on different target member flows for extracting a specified number of adverts in the matching category. The extracted adverts repeatedly scroll on the electronic device after a specified time internal. An apparatus, an electronic device, and a storage medium applying the method are also disclosed.

A system and method for implementing a one-stop advertising campaign through a non-digital advertising medium provides a single platform for an advertiser to implement an advertisement on a non-digital advertising medium. The advertiser, through a one-click functionality on the platform, selects the advertising medium, the advertising-related workers to implement the advertisement, the advertising costs, and the timeline for advertising on the advertising medium. One or more advertising-related workers upload skill sets and fees for the advertiser to review before selecting. The system generates recommendations of appropriate workers to implement the advertisement campaign based on needs of the advertiser. The system also integrates sensors and/or positioning systems into the advertising media to detect the numbers, physical features, relative position, and movement pattern of consumers in proximity to the advertising medium. This allows a processor and algorithms to generate consumer data useful to the advertiser for marketing and setting advertising costs.

Embodiments of the present disclosure disclose an information processing method, a server, and a non-volatile storage medium. The method includes obtaining first log information in a first time period and then obtaining, based on the first log information, terminal information of a terminal that performs a hit behavior on a media information display place. The method includes determining, based on the terminal information, regional information corresponding to the terminal, where the regional information is used to indicate a region in which the terminal is located. The method also includes determining whether the number of regions in which the terminal is located is greater than a first threshold in a preset time range according to the regional information. The method further includes, when the number is greater than the first threshold, obtaining first terminal information of the terminal and determining that the terminal is an abnormal terminal.