Recommendation systems - technology and business aspects

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Stenberg, Markus
dc.date.accessioned 2014-08-06T08:38:28Z
dc.date.available 2014-08-06T08:38:28Z
dc.date.issued 2014
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/13748
dc.description.abstract This thesis describes what recommendation systems are, what they are used for, how to build one, and what the potential business models around them are. The work starts with a literature review of recommendation system usage, recommendation system algorithms, and how to evaluate them. As empirical part of the thesis, implementation effort of a prototype recommendation system is described. The prototype is then evaluated in terms of scalability and quality of recommendations. Business part of the thesis discusses business models that are based on focusing around different parts of a typical e-commerce process which employs recommendation systems. The models are examined in two dimensions: customer segment type (business or consumer), and for company of what size they are applicable for. The main conclusion of this thesis is that recommendation systems seem an important part of business. They also seem not very hard to implement, although selling one seems challenging based on failure to sell the produced prototype. It seems puzzling that there does not seem to be much business or even academic literature along the lines of business models noted within the thesis. In technical implementation, there are obviously some pitfalls, and as the prototype never reached product quality, they may be perhaps under-emphasized. Some interesting work was produced on how to actually design and implement a highly scalable hybrid recommendation algorithm, with linear computational complexity scaling based on number of users, items and rankings to be processed. en
dc.format.extent 73
dc.language.iso en en
dc.title Recommendation systems - technology and business aspects en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Kauppakorkeakoulu fi
dc.contributor.school School of Business en
dc.contributor.department Tieto- ja palvelutalouden laitos fi
dc.contributor.department Department of Information and Service Economy en
dc.subject.keyword big data
dc.subject.keyword recommendation
dc.subject.keyword recommendation system
dc.subject.keyword prototype
dc.subject.keyword business model
dc.identifier.urn URN:NBN:fi:aalto-201501221475
dc.type.dcmitype text en
dc.programme.major Information Systems Science en
dc.programme.major Tietojärjestelmätiede fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Pro gradu tutkielma fi
dc.subject.helecon tietojärjestelmät
dc.subject.helecon information systems
dc.subject.helecon liiketalous
dc.subject.helecon business economics
dc.subject.helecon mallit
dc.subject.helecon models
dc.subject.helecon tietämyksenhallinta
dc.subject.helecon knowledge management
dc.ethesisid 13707
dc.date.dateaccepted 2014-06-19
dc.location P1 I fi


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