This document outlines a mobile application called the Personalized Activities Recommender that recommends local events and activities based on a user's interests, location, and other factors. It describes how the app works, including collecting event data and using an algorithm to calculate how much fun a user will have. It discusses the first real-life testing of the app at a smoothie-making workshop. It also covers the development of the mobile application, competitive analysis, potential benefits, and thanks supporters of the project.

1. Personalized Activities
Recommender
Challenge:Future, Finals Submission

2. This presentation contains
1. Unique selling proposition
2. What is our idea – how it works
3. The smoothie workshop – the first REAL-LIFE step
4. The Development of Mobile Application: a medium between
you and fun predicting algorithm – the second REAL-LIFE step
5. Market Research
6. Competitive Analysis
7. Who will benefit?
8. Thank you

3. READ
FURTHER

4. 1. Unique selling proposition
Fun detector: This is an algorithm that calculates
how much fun the user will have in activity and
than suggests the best matches. Its not
aggressive and includes a lot of elements
New bussines model: New way of how business can
promote itself and engage with customers by
organizing events, showing environmental concern
locally and in real-life. We are charging only
$20/event post, but because there are lots of events,
the idea has a high INCOME POTENTIAL

5. Events from all
2. How it works? over the
2.1 Creation of Events world.
Database
Company, society or
individual put an
event on our website.
Events are stored on
server.

6. 2.2 A steps you take to get involved
a.) Take your Smartphone
b.) Open the Personalized Activities Recommender
you downloaded from mobile apps market
c.)Now it is Application’s turn to find
you best local activities where you will
have the most fun

7. 2.3 What the system beyond mobile
application has to do?
a.) Determine your location
b.) By evaluating your mood, past actions,
weather and culture it calculates % how
much you like various things
c.) FUN predicting algorithm calculates
the fun you will probably have at local
activities and…SUGGESTS

10. 3. Smoothie workshop: first REAL-LIFE step
Where: Juicebox Ljubljana
Category: Healthy lifestyle
What: Smoothie workshop
When: Friday , 11th of November at 17:30

11. Our instructor Denis learnt us a lot about how to make
delicious smoothies
The making of
‘Strawberry
Fields’
Smoothie

12. 5 Enthusiastic PARTYcipants: George,
Anita, Angela, Marija, Katarina
Comment from our instructor Denis:
It was very interesting event and I
would also like to participate in other
similar events. Such activites
recommender and fun predictor on my
smartphone are a great idea.

13. Enjoying in fresh, tasty and healthy smooties after the
workshop…
And photoshooting
with our great
instructor Denis

14. Comments after the workshop:
George: I've always been a pessimist about
meals that don't include meat. After the
workshop I find the smoothies very delicious
and I'd be happy if I work in a smoothie bar
some day.
Anita: I eat fruits more than anything and
that's why I came to this workshop. What I
liked the most is that you can be creative and
design your own delicious drinks.
Angela: Lately I've been trying to have a more
healthy lifestyle. After this workshop I'll definitely start
having smoothies for breakfast instead of sandwiches
and huge cups of coffee.

15. 4. The Development of mobile
application: a medium between you
and fun predicting algorithm
Used hardware equipment:
Samsung Galaxy S2 Personal Computer
+

16. Software equipment used:
Eclipse: an open source
development environment
Android SDK: package
for developing android Apps
Java package

17. The beginning of doing parts of application:
1. Hello, World application for testing if this
simple application works on our device and computer
2. A test Graphical Interface with
three functions : - User’s Profile
- Suggested Activities
- Map to locate event

18. 3. Setting application for different languages: English, German, French, Slovene
4. Writing a part for determining User’s location using GPS
When developing location-based
app for Android, we can use GPS
and Android’s Network Location
Provider.

19. 5. Marketing Research and
Conclusions
For good understanding of the market, a marketing
research was made, based on:
Secondary Data (external resources)
• Primary Data (our own survey)

20. 5.1 How people are using social media…
18 to 34
is age of people who are
our target market
Source: A.T.Kearney

21. 5.2 Social Media and Communication
Market are merging
Personalited
Activities
Recommender
Convergence of Communication and Media, Source: A.T.Kearney

22. 5.3 Location-based applications
22% of adults between 25 and
34 uses location-based services at least
once a week
Most frequently location-based services are
‘locate nearby points
used to
of interest, shops and
services’
Source: The Mobile Marketing Association with research partner, Luth Research

23. 6. Competitive Analysis
Product Similarities with PAR Where PAR is different?
• it’s not agressive (user •PAR has world wide base
doesn’t need to fill forms of local events
about him/herself) •Locating is optional
(privacy of location can be
included)
•Calculates FUN
• Wide range of offers •Wide range of eco and
•Ability to chech-in while environmental, social
doing an activity events offers
•Calculates FUN
•Algorithm that takes in
account more elements
than in Get Blue
•Events can be setup •Enable to get local events
and PAR recommendations
•Searches instead of user
Enables to get local events
•Calculates FUN

24. 7. Who will benefit?
Active Individuals and those who want to be active:
• by getting a collection of local fun events especially for
them
• by getting unique platform for sharing events
• By getting ability to act and get participants
• By new way of networking
Science:
• By new researching areas
Businesses and ventures:
• By New way of engaging customers
• By Improving sustainability and environmental behaviour
• By Innovative way of advertising through content
Earth:
• By synchronized energy between people and Earth

25. A big thank you to our mentor prof. Andrej Košir, PhD.
,
We are also grateful to Juicebox Ljubljana for being the first
involved in this great experience and Denis who was leading
the workshop.
Thanks to all friends, that helped us on our way to develop
the solution.
All sources of pictures, graphs and diagrams are properly cited in Annex:
Literature, which is posted in our project room.