Group Targeting for Video Ads Based on Location Context

Similar documents
Automatic information protection when device camera is operated by secondary user

Technical Disclosure Commons

Disabling facial unlocking using facial expression

Technical Disclosure Commons

Detection of lost status of mobile devices

Context based automatic responses

Geo-Restricted In-Video Annotations

Polite mode for a virtual assistant

Automatic event scheduling based on weather conditions

Artificial Intelligence Powered Brand Identification and Attribution for On Screen Content

Voice activated spell-check

Providing link suggestions based on recent user activity

SOCIAL NETWORK BASED AUTHENTICATION FOR SECURE ACCESS

Seamless transfer of ambient media from environment to mobile device

Automatically Generating and Rendering Native Advertisements

Summarizing Existing Conversation For Newly Added Participants In Online Communication

TEMPORAL/SPATIAL CALENDAR EVENTS AND TRIGGERS

Actions on Landing Pages

SMART LIVE CHAT LIMITER

DETECTION OF POSITION FIXED CONTENT ITEM SLOTS AND CONTROL OF CONTENT DISPLAYED THEREIN

Intelligent ranking for photo galleries using sharing intent

REDUCING GRANULARITY OF BROWSER FINGERPRINTING TECHNIQUES

Notification Features For Digital Content In A Mobile-Optimized Format

SUPER PANEL: A MULTI-SCREEN AUDIENCE MEASUREMENT

PRE-ARRIVAL DESTINATION PREPARATION

BUFFERING AND INSERTING TEXT INPUTS

Displaying web pages within a software keyboard

!!!!!! Portfolio Summary!! for more information July, C o n c e r t T e c h n o l o g y

Connected Consumer Survey

Ranking trip search results based on user travel history

Reporting road hazards using in-vehicle camera

ADAPTIVE USER INTERFACE BASED ON EYE TRACKING

VOICE AND TOUCH BASED INPUT

Secure web proxy resistant to probing attacks

MULTIPLE TIER LOW OVERHEAD MEMORY LEAK DETECTOR

Synchronizing Media Content In A Shared Virtual Reality Environment

Selecting native ad units using gestures

australian multi-screen report QUARTER 4, 2011 trends in video viewership beyond conventional television sets

U.S. Digital Video Benchmark Adobe Digital Index Q2 2014

T H E S H I F T T O SMARTPHONE DOMINANCE

TIMING-BASED ASSISTANT CONTROLS

Conversion of a 3D scene into video

Consumer Insights. YouGov Omnibus, 5 th -6 th April

GLOBAL VIDEO INDEX Q3 2012

An Eye Tracking System For Smart Devices

SYSTEM AND METHOD FOR SPEECH RECOGNITION

Smart-Voice Invocation of Scenes in Home- Automation Systems

Technical Disclosure Commons

Q THE RISE OF MOBILE AND TABLET VIDEO GLOBAL VIDEO INDEX LONG-FORM VIDEO CONTINUES TO ENGAGE LIVE VIDEO DOMINATES ON-DEMAND MEDIA

ALLOCATING RF SPECTRUM PARTITIONS IN A CBRS NETWORK

SSD Admission Control for Content Delivery Networks

The Mobile Landscape in France and Europe

Web Services Privacy Policy. What the Privacy Policy does. What the Privacy Policy does not do

Prediction and Selection of Sequence of Actions Related to Voice Activated Computing Systems

THE STATE OF ONLINE VIDEO 2017

Replay Real World Network Conditions To Test Cellular Switching

Our Commitment To Privacy PRIVACY POLICY. Last Modified July 26, 2018

Interactive Map Project. Sophie 70227

Mobile: measurability unlocks spending

TIME DILATION CONTROLS FOR CAMERAS

Handwriting recognition for IDEs with Unicode support

Creating a TV- Anywhere Platform

ANALYZING AND TRANSFORMING TIME DIVISION MULTIPLEXING EQUIPMENT STRUCTURE

GLOBAL VIDEO INDEX REPORT Q1 2012

BEYOND THE LIVING ROOM

Navigation of blogs related by a tag

The Mobile Consumer Lifestyle. Implications for Marketers

THE POWER OF OTT. CTV Media, Inc 2018

Robocall and fake caller-id detection

Pipeline To Generate Training Data For Image Recognition

"METHOD FOR IMPROVED BANDWIDTH UTILIZATION IN DATA DOWNLOADING SYSTEMS USING INTELLIGENT DYNAMIC CONNECTION LIMIT STEPPING"

USPS DIGITAL MEDIA LIBRARY METHODS-AND-STRATEGIES GUIDELINES FOR DOCKING

ACCENTURE VIDEO SOLUTION END USER FEATURES. Enter

PRIVACY POLICY. 1. What Information We Collect

BREAKING CHRISTIAN NEWS MEDIA KIT

Method Of Password Entering And Storing

AMCTHEATRES.COM - PRIVACY POLICY

ALTERNATIVE CHARGE CONTROL SYSTEM FOR MERCHANDISE DISPLAY SECURITY SYSTEM

IPTV audience measurement standardization for future IPTV

Hashing technique to optimally balance load within switching networks

Ardmore Telephone Network TRANSPARENCY statement

Deloitte TMT Predictions 2018

Palmetto rural telephone cooperative, INC. Network TRANSPARENCY statement

Strategies for Training and Implementation Home

Local Search Insights

DIGITAL OVERVIEW. PHOTO CREDIT: KCRW Presents Summer Nights at Union Station by Owen Kolasinski

Vehicle To Android Communication Mode

USPS DIGITAL MEDIA LIBRARY METHODS-AND-STRATEGIES GUIDELINES FOR GETTING ON PLANE & OPERATING ON PLANE

Joint Industry Committee for Web Standards JICWEBS. Reporting Standards. AV / Ad Web Traffic

Preferential Resource Delivery Via Web Proxy or Web Browser

ELIJAH LIST MEDIA KIT

EFFICIENT TRAINING FOR MACHINE LEARNING MODELS ON EMBEDDED AND/OR LOW-POWER DEVICES

Featured Article. Building a Content-Aware Network. Intelligently Matching Content Providers to Content Viewers

Competitor Identification Based On Organic Impressions

APPLICATIONS ON TOP OF DNA CENTER: NETWORK SECURITY SCORE BY NETWORK APPLICATION SEGMENTS

USPS DIGITAL MEDIA LIBRARY METHODS-AND-STRATEGIES GUIDELINES FOR ANCHORING A BOAT

USPS DIGITAL MEDIA LIBRARY METHODS-AND-STRATEGIES GUIDELINES FOR PIVOT TURN

CONNECTED TV GUIDE: WHERE CAN I SERVE MY VIDEO ASSET?

Network TRANSPARENCY statement

Livingston Communications. Network TRANSPARENCY statement

Transcription:

Technical Disclosure Commons Defensive Publications Series October 14, 2017 Group Targeting for Video Ads Based on Location Context Indusekar Ponnapa Reddy Lakshmi Dabbiru Follow this and additional works at: http://www.tdcommons.org/dpubs_series Recommended Citation Reddy, Indusekar Ponnapa and Dabbiru, Lakshmi, "Group Targeting for Video Ads Based on Location Context", Technical Disclosure Commons, (October 14, 2017) This work is licensed under a Creative Commons Attribution 4.0 License. This Article is brought to you for free and open access by Technical Disclosure Commons. It has been accepted for inclusion in Defensive Publications Series by an authorized administrator of Technical Disclosure Commons.

Reddy and Dabbiru: Group Targeting for Video Ads Based on Location Context Group Targeting for Video Ads Based on Location Context Group watching of content selected by members of a group may result in improper selection of suggested content. For example, many users watch videos in a group setting by broadcasting or streaming the videos from a user device (e.g. smart phone or tablet) to a television system for group consumption (or in other methods in similar implementations, such as the use of a smart phone or tablet to control a playlist streamed to the television from a server or other such methods0. An ad displayed to the group (e.g. interstitial video ads, pre-roll or post-roll video ads, banner ads, pop-up ads, etc.) should be appropriate and selected based on the interests of the whole audience watching it. Similarly, suggested content (e.g. for subsequent viewing after a video is complete) should be appropriate to the whole group. In typical systems, suggested content and ads are selected based only on the profile and interests of the user of the controlling device (e.g. smartphone, tablet, smart television, etc.) or the account owner of a currently logged in account, but not the entire group. This may result in annoyance or frustration if content is improperly selected or suggestions are inappropriate for the group (e.g. ads for R-rated horror movies during a group viewing session with younger viewers). If videos, ads, or other content that is not appropriate to the whole group is shown, then users may be potentially annoyed or wish to stop viewing. Instead, an end to end content selection and serving system may select and display appropriate video ads based on the combined interests of the group rather than an individual device owner or account owner controlling the session. In one implementation, a content provider or publisher, such as an advertiser, may use an interface to select filters or configurations for providing different content to groups, such as a family audience, a group of friends, etc. Content providers may provide different bidding prices for content selection and serving, in systems utilizing auction formats, for group based watch scenarios. To determine group viewership, in one implementation, when a user is using a device to cast videos to a media device such as a television (e.g. directly, via control of a Published by Technical Disclosure Commons, 2017-1- 2

Defensive Publications Series, Art. 758 [2017] playlist, etc., as discussed above), the media device may transmit a request for additional content (e.g. interstitial or pre-roll ads, banner ads, suggested content, etc.). The request may include the device information used for casting or selection (e.g. device identifier, user identifier, account identifier, or other such information), Internet Protocol (IP) address and/or port number of the media device and/or casting or selection device, and other details. The server may utilize the received device information and IP address to identify device identifiers of all the other devices connected to the same WiFi Local Area Network (LAN). For example, in one implementation, the server may direct the media device and/or the casting/selection device to perform a network scan to identify other devices (e.g. address resolution protocol (ARP) scan broadcast to local area network addresses; a broadcast ping on the LAN segment; etc.). Device identifiers determined in this way may be provided to the server, to identify corresponding user accounts. In another implementation, on log-in on a device to the server, the server may record the IP address of the device along with the device identifier. The server may look up the IP address received in the content request to identify other device identifiers corresponding to other account owners. Thus, the server may identify devices that have logged in from the same IP address as the requesting device, indicating that they may be devices of friends or family members of the original account owner. The external IP address of the network may be used for this comparison, rather than internal IP addresses. In case of IP address release and reuse (e.g. DHCP or similar protocols), the server may identify devices that have logged in from the same IP address within a predetermined time period (e.g. 1 hour, 1 day, etc.). Accordingly, the system may identify the accounts of each audience member, and may then select content appropriate to the group, rather than individual users. The server may respond to the original request with content selected from an aggregate or intersection of profiles of the group (e.g. by modifying a playlist, by transmitting or streaming content to a media device, etc.). To protect privacy of the users and viewers, only device identifiers and external IP addresses may be collected in some implementations. The collected data may also be anonymized or disambiguated to protect user privacy. In many such -2-3

Reddy and Dabbiru: Group Targeting for Video Ads Based on Location Context implementations or similar situations in which personal information about the user of client device may be collected for measurement or used to select third-party content, the user may be provided with an opportunity to control whether programs or features that may collect personal information (e.g., information about a user s social network, social actions or activities, a user s preferences, or a user s current location) do so, or an opportunity to control whether or how to transmit data to the server. In addition, certain data may be treated in one or more ways before it is stored or used by the server, so that personally identifiable information is removed when generating parameters (e.g., demographic parameters). A user s identity may be anonymized so that no personally identifiable information can be determined for the user, or a user s geographic location may be generalized where location information is obtained (such as to a city, ZIP code, or state level), so that a particular location of a user cannot be determined. Thus, the user may have control over how information is collected about him or her and used by the servers and content providers. Published by Technical Disclosure Commons, 2017-3- 4

Defensive Publications Series, Art. 758 [2017] Abstract The systems and methods described herein provide for selecting additional content based on profiles of a group of viewers, rather than a profile of a single viewer controlling the group viewing session. A content request may include an IP address and device identifier, and a content selection server may retrieve other device identifiers associated with the IP address. The content selection server may select content based on the aggregation of profiles of users corresponding to the retrieved device identifiers, rather than just that of the user associated with the device providing the initial content request. -4-5