Kibitz : a framework for creating recommender systems

Recommender systems are one of the most vital and ubiquitous parts of the modern web. They are used by many major internet services such as Facebook, Google, and Amazon. However, there is a wealth of content and data that remains untapped by mainstream commercial recommender systems. We have designed and implemented Kibitz, a framework that allows anyone to create a recommender system on top of an arbitrary collection of items. We have developed a web application that facilitates the creation, customization and deployment of standalone websites for browsing and rating items as well as receiving item recommendations. We have also created a set of libraries for embedding rating and recommendation functionality into other websites. Partnering with local bookstores, we evaluated the process of using Kibitz to build recommender systems for their communities.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2017

Author dc:creator

• Sun, Brian John

Advisor dc:contributor.advisor

• David R. Karger.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/113103

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/113103