Submitted to: Prof. Dr. Eduard Heindl

A Mobile Product Recommendation System Interaction With Tagged

Products

Presented by: Pruthvi Jayasimha naidu Karri

Introduction. Product recommendation in a nutshell.APRIORI: Pervasive Product Recommendation.

First evaluation.Discussion.Conclusion.

Agenda

*Mobile phones becomming major friends for humans.

*90% of population having mobile phones in developed countries.

*Also web.

*People are interested to share information.

*Recommendation system introduced by Amazon.com

*Trying to implement recommendation system through mobile.

Introduction

*Product Ratings:

5 Star rating. (Price-performance ratio)

*Product Reviews:

Normally Text.

Product Recommendation in a Nutshell

APRIORI: Pervasive Product Recommendation

Using Apriori

Using Apriori

Apriori Prototype

First EvaluationInternet Of Things conference in march 2008.Introduced to 26 participants.Encouraged Feedback.

*Would you appreciate product recommendations of peer consumers in front of the shelf ?

o 22 +ve

*What are the products you consider peer-user recommendations most helpful for?

o Mostly electronics, not for food.

*Would you be motivated to actively recommend products using your mobile phone ?oTotal contrast.

First Evaluation

*Quality Management

*Motivation of Users and Critical Mass

*Privacy Concerns

*Business Model

Discussion

1) How responsive will consumers be to APriori?

2) How fast will consumer-generated content be used among peers?

3)Will consumers make their decisions based on experiences of

others?

4) Will product manufacturers change for the feedback?

Future

Your Questions

My Answers

*It is not so easy to penetrate into people.

*People these days are not interested to give rating for all the products they buy daily.

*If all these barriers/drawbacks are covered effectively and implemented in a effective manner, this concept is very useful for all the people who like to shop regularly.

Conclusion

Danke für Ihre Aufmerksamkeit