Post on 17-Aug-2014
description
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INFORMATION GRABBER
Using Location
based
Advertisements
Seminar Guide:
Mrs. Archana Kadam
Presented by:
Name : Aniket Chavan
Class: TE COMPRoll no.: 121
Division: A
GET THE !DEA FIRST !!!
Lets start with a situation.
It often happens with all of us.
Today’s Available options:
Phone a local friend/relative.
JUST DIAL
Rickshaw/ Thela waalas.
Conventional Advertisements
Can you make out what is he trying to advertise about ??
Conventional Advertisements
WHAT IS LBA ?? LBA is Location Based Advertisements.
A mobile user can ask our proposed application about his current location, popular places around his location, shortest route to navigate a particular opted location and to gain information of that opted location.
Lets see it from commercial point of view.
“It has potential for the marketers to send information and offers to consumers based on their proximity to places where the marketers' products are available.
WHAT IS EXACTLY NEW IN THIS??
Location-based advertising (LBA) is not new but being able to access it through one's mobile communication device is.
WHY MOBILE PHONES??
Why ???
????
?Why ???
Why ???
??
?
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EXCESS OF MOBILE USE
Though iPhone has significantly more number of Services available and also the usage.
WHAT DO CUSTOMERS THINK??
If consumers have generally positive attitudes toward such advertising, then this could be the very technology that allows m-commerce to kick into high gear.
If consumers are generally negative about it then advertisers will have to sell the medium first before they can successfully use it to sell other things.
THERE IS A DIFFERENCE !!
While this presentation has reached here, many of you may have this confusion…..
What is the difference between Mobile Ads & Location Based Ads ??
All mobile advertising is not LBA, it depends on whether or not the ad is determined by the recipient's (or more technically, the device's) location.
Mobile advertising is the broader of the two concepts.
CONCEPT OF PUSH & PULL
The LBA push approach amounts to the advertiser working with the carriers and delivery networks to send (push) ads to the user, determined by the device's location.
The other approach to LBA is called (pull) and it occurs when consumers request some information or use some service on a one-time basis and in the process are exposed to commercial messages.
PUSH & PULL
PUSH & PULL “Opt-out” suggests that advertisers would send ads to
whomever they wanted to until users asked that they not be sent ads anymore.
In contrast, the “opt-in” approach involves users authorizing that messages be sent to them, a type of permission marketing.
E.g. A salesman visiting San Francisco could use his device to access a portal where one of the choices is Local Restaurants. After selecting that, the next alternative he may choose to pick is Chinese. Five restaurants are shown, all indicated to be within a half-mile of his location. He selects one of them and a map is provided as well as an offer of a free appetizer, good for the next hour. Because the user chooses the time and place to access the information in the pull approach, it is by definition opt-in.
PROJECT SCOPE This application will be User-Friendly for its audience
(static) and the On-The-Go Audience (Dynamic). It will provide services such as:
There will be 2 different classes of users. They are: Android users.
Non-Android users.
Android users: Their location will be automatically tracked using GPS.
Non-Android users: They need to manually put their location to access the application.
SOFTWARE INTERFACE
Our system will be using Google map to help user navigate to his destination place.
GPS will detect location of the user or the popular place around the user location.
MySQL will be used as backend to store the databases.
Our proposed application will be using two protocols. HTTPS will make the web service more secure. FTP will be used in case of opening any images.
DATA FLOW DIAGRAMS
User
Input : Location Info
Output : Result
User Info-TrackerInfo-Grabber
DATA FLOW DIAGRAMS
UserInput: Location Info
Output: Result
User Info-Grabber
Server accessing data from DB
Database
QueryResult
Resultconnect
- id : string+loc_name : string
- putloc()+ getinfo()
user
nonAndroid User serverandroidUser
Application
+ getinfo()
- locname : string- locdata : string- locid : string
- add()- update()- delete()
+ display_info()- search()
+ appname : string
Class Diagram
SYSTEM ARCHITECTURE
ADVANTAGES “Info-Grabber” offers a generally faster speed of
interaction. There is no long entry form that users must fill out right off the bat, and the type of language used is often less formal, allowing an interaction with fewer characters, which speeds things up.
The accessing of this proposed application via Web service will be free of cost.
This proposed application can be used by anyone though he has less computer knowledge; hence it is easy to use.
It makes the user known to his surroundings.
When Virtual world seems True...
LIMITATIONS Consumer's privacy (is still a concern).
LBA as spam if done inappropriately.
The interaction must be straight-forward and simple.
APPLICATION
LBA allows marketers to reach a specific target audience.
Since LBA gives consumers control on what, when, where, and how customers receive ads, it provides customers more relevant information, personalized message, and targeted offer.
LBA is a means of researching consumers.
CONCLUSION Existing system based on location based
advertisement help a user to get advertisement according to his geographical location.
Our proposed application is a step ahead of the existing system as it will also provide information card of a particular place. E.g. Menu card of a restaurant.
Can be extended proposed application into various applications such as online booking of tickets (railway station, movie) or appointments (hospital), online ordering (restaurants), etc.
REFERENCES T. De Pessemier, T. Deryckere, K. Vanhecke, L. Martens, “Proposed
architecture and algorithm for personalized advertising on iDTV and mobile devices”, “IEEE Transactions on Consumer Electronics” 54 (2) (May 2008) 709-713.
A. Katz-Stone, “Wireless revenue: advertisements can work” Australia. internet.com,2001.
O. Kwon, J. Kim. “Concept lattices for visualizing and generating user profiles for context-aware service recommendations”, “Expert Systems with Applications” 36 (2009)
A.K. Tripathi, S.K. Nair, “Narrowcasting of wireless advertising in malls”, “European Journal of Operational Research” 182 (3) (November 2007)