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WO2016189355A1 - Équipement mobile de publicité pour des lecteurs - Google Patents

Équipement mobile de publicité pour des lecteurs Download PDF

Info

Publication number
WO2016189355A1
WO2016189355A1 PCT/IB2015/053988 IB2015053988W WO2016189355A1 WO 2016189355 A1 WO2016189355 A1 WO 2016189355A1 IB 2015053988 W IB2015053988 W IB 2015053988W WO 2016189355 A1 WO2016189355 A1 WO 2016189355A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
level
text
product
online
Prior art date
Application number
PCT/IB2015/053988
Other languages
English (en)
Inventor
Kwai Wing Egan LAU
Original Assignee
Lau Kwai Wing Egan
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Lau Kwai Wing Egan filed Critical Lau Kwai Wing Egan
Priority to PCT/IB2015/053988 priority Critical patent/WO2016189355A1/fr
Publication of WO2016189355A1 publication Critical patent/WO2016189355A1/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0263—Targeted advertisements based upon Internet or website rating

Definitions

  • the present invention generally relates to advertising methods and systems and more particularly to displaying targeted advertisements to web users based on user-accessed content.
  • User evaluation value is not only limited to the contents of a review. Potential buyers reading a review may pay attention to a few particularities with respect to the review. These include: i) the title of the comment in the article, ii) characteristics described and/or reviewed, and/or iii) the relevant rating for the seller of a product. Different users may value different features and/or comments of a review.
  • a number-based rating scale e.g. 4 out of 5 stars
  • others may pay particular attention to a reviewers age and/or expertise.
  • the present invention contemplates these variations and provides ratings systems and/or advertisements based on user preferences and habits.
  • an advertising system for displaying targeted advertisements to users based on users' interaction with certain reviews, comments, and/or ratings regarding a particular product or service offered online.
  • a collaborative online advertisement system for targeting users based on comments read by the user.
  • the system is directed to using data regarding online reviews and user perusal of online reviews to create targeted advertisements (hereinafter referred to as "ads" or “advertisements”).
  • the disclosed technology involves using an online tool on a mobile device to browse online stores that sells consumer products.
  • the tool recognizes and consolidates user reviews written by previous buyers of the product or products.
  • the tool takes into account different features of the reviews such as article/comment title, review characteristics and any ratings given to a product.
  • a collaborative online advertisement system is used for targeting users based on comments read by the user.
  • the system employs one or more of the following components: a) a mobile device having a touch display screen; b) an online viewer tool stored within the mobile device showing sale items from an online store, wherein the online store provides a display area showing a list of past buyer comments of a given product, each comment being associated with at least one feature and a rating of the given product; c) an eye tracking component in the mobile device for identifying which words of text the user is reading by approximating current focus area of the user on the display screen, wherein the approximating of the current focus area of the user is carried out by prompting the user to indicate a preferred eye level position by having the user tap a portion of the screen that is indicative of a preferred eye level of the user; d) a keyword generator to collect keywords from the list of past buyer comments that are most interesting to users; and/or e) a target product generator, which produces product advertisements that are displayed to the user through the display screen in view of the interests of the user as reflected by the received keywords of multiple levels.
  • the keywords are collected and stored by: i) measuring a duration of time spent reading a line of text at the preferred eye level position by the user by measuring how frequently the user scrolls down; ii) if time spent by the user on the line of text exceeds an average read time of the user, the words contained in the line of text are deemed to be comments of particular interest to the user; iii) categorizing the words that are of particular interest to the user into keywords of multiple levels, which include: i) product level, ii) feature level, and iii) rating level; and/or; iv) reporting the categorized keywords of multiple levels back to the collaborative online advertisement system .
  • the approximation of the current focus area accommodates certain users having a wide reading scope by facilitating user definition of a wider or longer preferred eye level area by leading the user to define the preferred eye level area with multiple touches.
  • another collaborative online advertisement system is used for targeting users based on comments read by the user.
  • a device may employ one or more of the following components: a) a mobile device having a touch display screen; b) an online viewer tool stored within the mobile device showing sale items from an online store, wherein the online store provides a display area showing a list of past buyer comments of a given product, each comment being associated with at least one feature and a rating of the given product; c) an eye tracking component in the mobile device for identifying which words of text the user is reading by approximating current focus area of the user on the display screen, wherein the approximating of the current focus area of the user is carried out by prompting the user to indicate a preferred eye level position by having the user tap a portion of the screen that is indicative of a preferred eye level of the user, further wherein approximation of the current focus area accommodates certain users having a wide reading scope by facilitating user definition of a wider or longer preferred eye level area by leading
  • another collaborative online advertisement system is used for targeting users based on comments read by the user.
  • the system may employ one or more of the following components and/or actions: a) a mobile device with a touched display screen allowing a user to navigate the display screen; b) an online viewer tool stored within the mobile device showing sales items from an online store, wherein the online store provides a display area showing a list of past buyer comments of a given product, each comment is associated with at least one feature and a rating of the given product; c) an eye tracking component in the mobile device without using cameras, wherein the eye tracking component can identify which words of text the user is reading by approximating current focus area of a user on the display screen; d) wherein the approximating of the current focus area of the user is achieved by: i) prompting the user to indicate a preferred eye level area by having the user to touch a surface area of the mobile phone where the user feels that the height of the touched area is comfortable for viewing or browsing text so that words included
  • Figure 1 shows a diagram generally overviewing a mobile device display with pinpointed eye level tracking according to an embodiment of the disclosed technology.
  • Figure 2 shows the mobile device of Figure 1 with a touch gesture being performed according to embodiments of the disclosed technology.
  • Figure 3 is a high-level block diagram of a microprocessor device that may be used to carry out the disclosed technology.
  • a collaborative online advertisement system for targeting users based on comments read by the user.
  • the system displays targeted advertisements to users based on users' interaction with certain reviews, comments, and/or ratings regarding a particular product or service offered online.
  • the system is directed to using data regarding online reviews and user perusal of online reviews to create targeted advertisements (hereinafter referred to as "ads” or “advertisements”).
  • the disclosed technology involves using an online tool on a mobile device to browse online stores that sells consumer products.
  • the tool recognizes and consolidates user reviews written by previous buyers of the product or products.
  • the tool takes into account different features of the reviews such as article/comment title, review characteristics and any ratings given to a product.
  • FIG. 1 a diagram is depicted generally overviewing a mobile device display with pinpointed eye level tracking according to an embodiment of the disclosed technology.
  • the mobile device 10 has a touch display 20 for displaying content and receiving touch gesture inputs.
  • the display 20 may alternatively not have touch capability in which case another input/output interface would be employed by a user, such as a mouse & keyboard.
  • the mobile device may be any computing device, including, but not limited to, a computer, a laptop, a tablet, a mobile phone, any other type of mobile device, a smart watch, any other type of wearable computer, DVD players, blu-ray players, MP3 players, cable boxes, satellite television boxes, multi-media streaming devices, satellite television receivers, digital video and/or photo cameras, and so on.
  • a product web page and accompanying review 30 is displayed on the display 20 of the device 10.
  • a user (not shown) is reading the review 30 based on the duration of time during which the user is on the product review site without scrolling.
  • the shadowed dot 40 represents the particular user's line of sight on the display 20. That is, the dot 40 is the level at which the user typically reads text displayed on the device 10. This level may be obtained through observation of the user using one or more sensors such as a camera, the touch screen and/or other input mechanisms. Alternatively, this level may be calibrated by the user by way of a simple touch gesture. Thus, the user may simply press, when prompted, the portion of the screen where the user's eyes are focused when the user is reading.
  • a software tool or add-on device is installed on the mobile device or accessed remotely via a data network. Based on the user's preferred eye focus area, the tool uses OCR (optical text recognition) to read, store and analyze the portions of text on which the user is most interested. This is carried out by first stipulating an average duration during which the user stays on a given page without scrolling. Different factors such as text size, amount of text, sophistication of text, addition of images, and any other variables are taken into account in quantifying this average. Once the average is determined, it is used as a benchmark by which future user actions are compared.
  • OCR optical text recognition
  • Figure 2 shows the mobile device of Figure 1 with a touch gesture being performed according to embodiments of the disclosed technology.
  • the gesture 50 is being performed by a finger 100 of the user.
  • the gesture 50 may be used as an input mechanism for defining a preferred eye focus area for a user.
  • the user presumably is a faster reader and focuses on a large portion of a webpage or text when browsing the web.
  • the user may use multiple touches or gesture motions to define this particular preferred focus area.
  • the system uses this collected data regarding online reviews and user perusal of online reviews to create targeted advertisements (hereinafter referred to as "ads" or “advertisements"). Based on the keywords, the tool recognizes and consolidates user reviews written by previous buyers of the product or products.
  • the tool takes into account different features of the reviews such as article/comment title, review characteristics and any ratings given to a product.
  • the tool is stored within the mobile device and may show sale items from an online store, wherein the online store provides a display area showing a list of past buyer comments of a given product, each comment being associated with at least one feature and a rating of the given product.
  • the OCR component and a keyword generator continues to collect keywords from the list of past buyer comments that are most interesting to users.
  • a target product generator on the device produces product advertisements that are displayed to the user through the display screen in view of the interests of the user as reflected by the received keywords of multiple levels.
  • the advertisement may be, for example, a variation of a product for which the user is browsing reviews.
  • the advertisement may be directed to a similar product which employs the missing feature. This is merely one example of the endless possibilities for targeted ad display.
  • the keywords are collected and stored by: i) measuring a duration of time spent reading a line of text at the preferred eye level position by the user by measuring how frequently the user scrolls down; ii) if time spent by the user on the line of text exceeds an average read time of the user, the words contained in the line of text are deemed to be comments of particular interest to the user; iii) categorizing the words that are of particular interest to the user into keywords of multiple levels, which include: a) product level, b) feature level, and c) rating level; and/or; d) reporting the categorized keywords of multiple levels back to the collaborative online advertisement system .
  • a target product identifier may be used by the mobile device.
  • the identifier may use a camera or other peripheral sensor of the mobile device to capture sounds, imagery and/or movement in the vicinity of the device.
  • a capturing device may be configured to capture, in real-time, products that are in a vicinity of the mobile device that match identified criteria in the i) product level, ii) feature level, and iii) rating level. The existence of such products in the vicinity of the device may be brought to the attention of the user via a pop up or other message displayed on the device.
  • FIG. 3 is a high-level block diagram of a microprocessor device that may be used to carry out the disclosed technology.
  • the device 500 comprises a processor 550 that controls the overall operation of a computer by executing the reader's program instructions which define such operation.
  • the reader's program instructions may be stored in a storage device 520 (e.g., magnetic disk, database) and loaded into memory 530 when execution of the console's program instructions is desired.
  • the device 500 will be defined by the program instructions stored in memory 530 and/or storage 520, and the console will be controlled by processor 550 executing the console's program instructions.
  • the device 500 may also include one or a plurality of input network interfaces for communicating with other devices via a network (e.g., the internet).
  • the device 500 further includes an electrical input interface for receiving power and data.
  • the device 500 also includes one or more output network interfaces 510 for communicating with other devices.
  • the device 500 may also include input/output 540 representing devices which allow for user interaction with a computer (e.g., display, keyboard, mouse, speakers, buttons, etc.).
  • Figure 3 is a high level representation of some of the components of such a device for illustrative purposes. It should also be understood by one skilled in the art that the method and devices depicted in Figures 1 through 2 may be implemented on a device such as is shown in Figure 3.

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  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

L'invention concerne des systèmes, des appareils, des procédés et des dispositifs pour un système de publicité en ligne collaboratif pour cibler des utilisateurs sur la base de commentaires lus par l'utilisateur. Le système affiche des publicités ciblées à des utilisateurs sur la base d'une interaction d'utilisateur avec certaines critiques, certains commentaires et/ou certaines notes concernant un produit ou service particulier offert en ligne. Le système est conçu pour utiliser des données concernant des critiques en ligne et une lecture attentive par l'utilisateur de critiques en ligne pour créer des publicités ciblées ; utiliser un outil en ligne sur un dispositif mobile pour naviguer dans des magasins en ligne qui vendent des produits de client. L'outil reconnaît et consolide les critiques d'utilisateur écrites par de précédents acheteurs du ou des produit(s). L'outil prend en compte différentes caractéristiques des critiques, telles que le titre d'article/commentaire, caractéristiques de critique et toutes notes données à un produit.
PCT/IB2015/053988 2015-05-27 2015-05-27 Équipement mobile de publicité pour des lecteurs WO2016189355A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/IB2015/053988 WO2016189355A1 (fr) 2015-05-27 2015-05-27 Équipement mobile de publicité pour des lecteurs

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2015/053988 WO2016189355A1 (fr) 2015-05-27 2015-05-27 Équipement mobile de publicité pour des lecteurs

Publications (1)

Publication Number Publication Date
WO2016189355A1 true WO2016189355A1 (fr) 2016-12-01

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2015/053988 WO2016189355A1 (fr) 2015-05-27 2015-05-27 Équipement mobile de publicité pour des lecteurs

Country Status (1)

Country Link
WO (1) WO2016189355A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108763394A (zh) * 2018-05-21 2018-11-06 浙江工业大学 面向协同交互的多用户眼动跟踪数据可视化方法和系统
CN111666251A (zh) * 2020-05-26 2020-09-15 上海连尚网络科技有限公司 一种用于提供阅读模式的方法与设备
US11158206B2 (en) 2018-09-20 2021-10-26 International Business Machines Corporation Assisting learners based on analytics of in-session cognition

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060282336A1 (en) * 2005-06-08 2006-12-14 Huang Ian T Internet search engine with critic ratings
US20120084143A1 (en) * 2010-10-05 2012-04-05 Xerox Corporation Optimal list-price mechanism design for multi-level device click-through in targeted print or electronic communication
US20120290606A1 (en) * 2011-05-11 2012-11-15 Searchreviews LLC Providing sentiment-related content using sentiment and factor-based analysis of contextually-relevant user-generated data
US20130030950A1 (en) * 2011-07-26 2013-01-31 Alibaba Group Holding Limited Providing social product recommendations
US20140358731A1 (en) * 2013-05-31 2014-12-04 Oracle International Corporation Consumer purchase decision scoring tool

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060282336A1 (en) * 2005-06-08 2006-12-14 Huang Ian T Internet search engine with critic ratings
US20120084143A1 (en) * 2010-10-05 2012-04-05 Xerox Corporation Optimal list-price mechanism design for multi-level device click-through in targeted print or electronic communication
US20120290606A1 (en) * 2011-05-11 2012-11-15 Searchreviews LLC Providing sentiment-related content using sentiment and factor-based analysis of contextually-relevant user-generated data
US20130030950A1 (en) * 2011-07-26 2013-01-31 Alibaba Group Holding Limited Providing social product recommendations
US20140358731A1 (en) * 2013-05-31 2014-12-04 Oracle International Corporation Consumer purchase decision scoring tool

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108763394A (zh) * 2018-05-21 2018-11-06 浙江工业大学 面向协同交互的多用户眼动跟踪数据可视化方法和系统
CN108763394B (zh) * 2018-05-21 2021-11-23 浙江工业大学 面向协同交互的多用户眼动跟踪数据可视化方法和系统
US11158206B2 (en) 2018-09-20 2021-10-26 International Business Machines Corporation Assisting learners based on analytics of in-session cognition
CN111666251A (zh) * 2020-05-26 2020-09-15 上海连尚网络科技有限公司 一种用于提供阅读模式的方法与设备
CN111666251B (zh) * 2020-05-26 2023-09-15 上海连尚网络科技有限公司 一种用于提供阅读模式的方法与设备

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