Patent Application
20150242891
1. Technical Field
The present invention relates generally to matching commercial products based on user behavior within mobile applications, and more particularly, the present invention relates to analyzing user usage of mobile applications and mobile device parameters and introducing matching commercial products.
2. Discussion of Related Art
The known is the art of product matching is based only on user behavior when surfing Web, not considering the usage of the computer device and the timing of promoting the product sale.
The present invention discloses a method for matching products sale promotions for users while using an application in a computer device. The method comprising the steps of: tracking user usage of application and/or usage of the computer device, including at least path of navigation, activities and context when using an application, aggregating and analyzing usage data of each user in relation to at least one application for identifying behavior pattern, user characteristics and user preferences, updating user profile based on identifying behavior pattern user characteristics and user preferences and matching product commercial in real-time to user while using the application, based on his updated profile and current usage of the application according to predefined triggering rules.
The process of tracking and updating and matching are performed by at least one processor unit.
According to some embodiments of the present invention the tracking user usage include measuring time usage parameters.
According to some embodiments of the present invention the tracking user usage includes measuring parameters of mobile device sensors or hardware elements.
According to some embodiments of the present invention the tracking user usage includes identifying interruptions in application usage including switching between applications.
According to some embodiments of the present invention the tracking user usage includes Identifying network connections.
According to some embodiments of the present invention the aggregating and analyzing usage data includes analyzing consumed content for classifying content, by applying at least one of: text parsing, image recognition, music/voice recognition.
According to some embodiments of the present invention the aggregating and analyzing usage data includes identifying and recording history/sequence of application activation, or simultaneous activation of multiple application.
According to some embodiments of the present invention the aggregating and analyzing usage data includes retrieving metadata information related running application including at least one of the following: category, description, reviews from network.
According to some embodiments of the present invention the tracking is applied to multiple different applications installed on the same computer device and product matching is applied for a current running application of the same computer device.
According to some embodiments of the present invention the product promotion is performed in real-time upon detecting the occurrence of predefined triggering timing rules based on user tracked activities.
The present invention discloses a system for matching products sale promotions for users while using an application in a computer device. The system comprising of, a commercial agent module residing on the computer device for tracking user usage of application and/or usage of the computer device, including at least path of navigation, activities and context when using an application and a network server for aggregating and analyzing usage data of each user in relation to at least one application for identifying behavior pattern, user characteristics and user preferences updating user profile based on identifying behavior pattern user characteristics and user preferences and matching product commercial in real-time to user while using the application, based on his updated profile and current usage of the application according to predefined triggering rules.
According to some embodiments of the present invention the commercial agent module is implemented as a designated application running on the computer device.
According to some embodiments of the present invention the commercial agent module is implemented as a module associated with an application residing on the computer device.
According to some embodiments of the present invention the at least part of the identification and analysis steps are performed at the commercial agent at the computer device of the client
According to some embodiments of the present invention the tracking user usage includes identifying interruptions in application usage including switching between applications.
According to some embodiments of the present invention the aggregating and analyzing usage data includes analyzing consumed content for classifying content, by applying at least one of text parsing, image recognition, music/voice recognition.
According to some embodiments of the present invention the aggregating and analyzing usage data includes identifying and recording sequence of application activation, or simultaneous activation of multiple application.
According to some embodiments of the present invention the aggregating and analyzing usage data includes retrieving metadata information related running application including at least one of the following: category, description, reviews from network.
According to some embodiments of the present invention the tracking is applied to multiple different applications installed on the same computer device and product matching is applied for a current running application of the same computer device.
According to some embodiments of the present invention the product promotion is performed in real-time upon detecting the occurrence of predefined triggering timing rules based on user tracked activities.
The present invention will be more readily understood from the detailed description of embodiments thereof made in conjunction with the accompanying drawings of which:
Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and the arrangement of the components set forth in the following description or illustrated in the drawings. The invention is applicable to other embodiments or of being practiced or carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein is for the purpose of description and should not be regarded as limiting.
The term “computerized device” as used herein in this application, is defined as any device with processing capabilities such as a processing device, a computerized mobile device such as Smartphone and a tablet.
Embodiments of the present invention provide a method and system for improving a process of discovering application programs that are published in an electronic market of computer applications, such the Apps stores of Apple. The application programs may be installed on a computerized device or optionally installed on a personal computer. The market place of applications may be provided through any data communication network such as the Internet.
According to some embodiments, at least part of the identification and analysis steps as described above, may be performed at the commercial agent at the computer device of the client.
The commercial agent can be implemented as independent application running on mobile application which is associated with designated applications or as part of a designated application.
According to some embodiments of the present invention the following examples scenarios can be implemented:
A user opens up a cooking application, the user search/navigates to pasta recipes for make pasta. Every time the user moves to the next pasta recipe (or according to predefined triggering rule) the agent within the app (or on the computer device) sends a report to the server notifying that the specific user (identified by his device ID) is watching a pasta recipe for x seconds. The server receives the activity reports and identifies the context of user activity (i.e. a growing interest in pasta) and match or filters out pasta related products from products database and sorts it by popularity based on the user profile preferences and characteristics(i.e the user prefers organic food). The respective list of matching products is sent by the server to agent module on the user commuter device which prompts the user with the top list of pasta related products commercial for sale at specific time spot when detecting specific triggering activity rule such as when the user is reading the ingredients of another pasta recipe.
The agent application or modules detects the following actions performed by the user and reports to the server: user bought a new phone, installs a calendar app, the user is copying multiple music files to the file folder, the user is downloading a running sport application. The agent residing inside the calendar app (running at the background) detects that the user is currently running, identifies the user stopped running after 10 miles and connected to WIFI network, all actions are reports it to the server. The server analyzes all action including: evaluating the properties/conditions of a new phone, amount of music files, end of run, and WFI connectivity and determines according to predefined triggering rules the proper time to send proposal for buying new running matching products, such as headphones to the agent. For example when the user enters the calendar to view tasks, he receives promotion of the headphones.
The agent is implemented inside a messenger application. The agent track users action of opening messenger and sends a message to a friend about going shopping together for an iPad, the context of shopping is detected and reported to the sever with location information of the user. The Server matches relevant products according to user preference and characteristics and sends the agent commercial promotion to buy iPad at nearby stores, sorted by lowest price. The Agent pops up a message inside the calendar app which also has an agent with proposal to buy an iPad.
The agent detects the following actions: the user opens up the Wired app which includes the agent inside, the user navigates into gadgets section and the agent reports the server. The sever matches relevant products according to user profile and sends the agent list of gadgets. The agent receives the list and waits for the right timing. The User leaves Wired app and shuts down the phone, after 2 hours, opens the Wired app again and reads a robotics article inside the gadgets section, the agent filters out the robotic related gadgets from the list of gadgets received previously and shows multiple advertisements to buy them at the end of the article.
The agent tracks, user opening up a cooking app which has small kitchen accessory shops within each recipe, the user goes into the recipe shop and navigates to a specific chapter (Meat) and the specific recipe itself (Pork Chops), next the user navigates to small shops and starts browsing through products, browse through product pages and once in a while clicks on a more info to view product rating and discounts. The Agent reports all user actions to the server indicating of higher interest in specific products where the user clicked more info. The server match relevant products based on user profile and sends products promotion list, accordingly the Agent reorganizes the next products to be seen in the shop based on the type of products the user has shown interest in.
According to this scenario the user is a runner and uses a running app with agent. The agent tracks when the user running performance, e.g. indicating the user is not in shape and reports it to the server together with the category of the app the user is using. The server match products related to reported activities and sends recommendation for a heart rate monitor which is important for people whom just begin running After two months the user improves his running skills and the agent continuously reports the improvement in performance. The server detects that user has risen to the next level and recommends tools for more professional runners.
The user has installed a tourist app with agent according to the present invention and flies to France, the loves wine and while in France goes to wineries with the help of the app. The agent reports the sever the locations the user is interested in and their respective profile, and receiving matching products to advertise to the user, such as recommendation for a bottle opener and a journey log in a nice leather wrap.
In the above description, an embodiment is an example or implementation of the invention. The various appearances of “one embodiment”, “an embodiment” or “some embodiments” do not necessarily all refer to the same embodiments.
Although various features of the invention may be described in the context of a single embodiment, the features may also be provided separately or in any suitable combination. Conversely, although the invention may be described herein in the context of separate embodiments for clarity, the invention may also be implemented in a single embodiment.
Furthermore, it is to be understood that the invention can be carried out or practiced in various ways and that the invention can be implemented in embodiments other than the ones outlined in the description above.
The invention is not limited to those diagrams or to the corresponding descriptions. For example, flow need not move through each illustrated box or state, or in exactly the same order as illustrated and described.
Meanings of technical and scientific terms used herein are to be commonly understood as by one of ordinary skill in the art to which the invention belongs, unless otherwise defined.
