Understanding Customer Product Reviews and Ratings: A Case at Amazon

About the Event

This talk will discuss a novel method that converts reviews and ratings into statistical data that can be used to forecast rating performance. With such information, marketing and innovation teams can optimise their investment decisions to address consumer needs accurately and therefore maximise return on investment.

Fees

Notes

• Event will not run if minimum sign-up is not met.
• Alumnus is to present their NRIC/photo ID on event day for verification purposes. Guests who are not accompanied by SUSS alumnus will not be allowed to join the event.
• Please be advised that filming and/or photography will be taking place at this event.  If you do not wish to appear in any images, please let the organiser know so that we can take appropriate steps to ensure that you are not included.  The photographs/film will be used by Singapore University of Social Sciences (SUSS) for publicity purposes. They may also be included in SUSS publications or in SUSS promotional materials and may also be published on the SUSS website and social media channels.

Terms and Conditions

• SUSS reserves the rights to use/publish any photos taken at our events on corporate marketing materials or for publicity purposes.
• Our events are highly subsidised and we have limited capacity. Failure to turn up for an event will deprive a fellow alumnus enjoying the benefit. We greatly appreciate your participation and thank you in advance for joining us.
• Once your registration is confirmed, no cancellation or refund would be allowed.
• SUSS reserves the right to make changes to the event without prior notice.
• Complimentary or free gifts, if any, are on a while stocks last basis.
• All information is accurate at the time of publishing.