This years ECML PKDD Discovery Challenge is organized by several members of the BibSonomy Team. After the successful challenges on Tag Recommendation in 2008 and 2009 this years challenge focuses on a new domain, that can profit from recommender systems:
All over the world, future parents are facing the task of finding a
suitable given name for their children. This choice is influenced by
different factors, such as the social context, language, cultural
background and especially personal taste. Most books, websites or mobile apps aid parents only by offering alphabetically ordered list of names.
CAN YOU DO BETTER?
In the challenge, participants will explore different recommender strategies and their ability to predict names, that users will find interesting. Hereby, the recommendation of names provides a serious and versatile task, that can be approached from several different perspectives:
The influence of personal taste, language and geographic user location,
for example, presents an opportunity for context-aware recommendations.
The influence of the social context of a user brings in the social
network analysis community as another source to improve the quality of
the recommender with its methods.
The etymological roots as
well as connotations of names that have arisen over time (e.g., through
popular cultural, political or religious bearers of a given name)
suggest that methods based on inherent semantics and “content” may also
yield successful recommendation approaches.
Methods from the
field of sentiment analysis may help to distinguish names which are
popular because users like those names from those which are popular
because users are interested in their context.
For the challenge, participants can make use of a new data set from the name-search engine nameling where thousands of users are looking up names to find similar or related names to name their children.
Results from an online and an offline experiment will be presented during a workshop, that is held in conjunction with this year's