1. Submitted to: Prof. Dr. Eduard Heindl Presented by: Pruthvi Jayasimha naidu Karri

2.  Introduction.  Product recommendation in a nutshell.  APRIORI: Pervasive Product Recommendation.  First evaluation.  Discussion.  Conclusion.

3. * 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.

4. * Product Ratings: 5 Star rating. (Price-performance ratio) * Product Reviews: Normally Text.

9. Internet Of Things conference in march 2008. Introduced to 26 participants. Encouraged Feedback.

10. * 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 ? o Total contrast.

11. * Quality Management * Motivation of Users and Critical Mass * Privacy Concerns * Business Model

12. 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?

14. * 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.

15. Danke für Ihre Aufmerksamkeit