Application details
IS Wedding Click II
01.03.2019 – 31.08.2019
Prototype implementation or conception of an approach for the solution of the Cold-Start
Problem. This should make it possible to provide the user already now (with few
data) to provide good recommendations of services and further data on
to further train the collaborative filtering approach. To do this
a hybrid approach consisting of Content Based Recommendation together with a
Collaborative Filtering can be designed and applied. The Content Based
Recommendations should be made by manually tagging/announcing the currently available
wedding picture; as a further source of data, the data of users can also be
can be used for the profile data specified. Thus, after the images have been evaluated by the
User a good recommendation for suitable service providers for the wedding will be possible. Starting from
a certain amount of collected data, Collaborative Filtering can be part of the
Recommenders then have more and more influence on the recommendations and always
more to replace the Content Based Recommendation part. The innovation of this project lies in
the conception and implementation of this hybrid recommender approach for the solution of the cold-
start problem, the benefit for the company in an easier onboarding of new
customers and thus a competitive advantage.
Unser Forschungsteam
