A Mobile Product Recommendation System Interaction With Tagged Products Submitted to:Prof. Dr. Eduard Heindl Presented by: Pruthvi Jayasimha naidu Karri
Agenda • Introduction. • Product recommendation in a nutshell. • APRIORI: Pervasive Product Recommendation. • First evaluation. • Discussion. • Conclusion.
Introduction • 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.
Product Recommendation in a Nutshell • Product Ratings: 5 Star rating. (Price-performance ratio) • Product Reviews: Normally Text.
First Evaluation • Internet Of Things conference in march 2008. • Introduced to 26 participants. • Encouraged Feedback.
First Evaluation • Would you appreciate product recommendations of peer consumers in front of the shelf ? • 22 +ve • What are the products you consider peer-user recommendations most helpful for? • Mostly electronics, not for food. • Would you be motivated to actively recommend products using your mobile phone ? • Total contrast.
Discussion • Quality Management • Motivation of Users and Critical Mass • Privacy Concerns • Business Model
Future 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?
Your Questions MyAnswers
Conclusion • 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.