id: 05969471
dt: a
an: 05969471
au: Kumar, Harshit; Kim, Hong-Gee
ti: Using folksonomies for building user interest profile.
so: Konstan, Joseph A. (ed.) et al., User modeling, adaption and
    personalization. 19th international conference, UMAP 2011, Girona,
    Spain, July 11‒15, 2011. Proceedings. Berlin: Springer (ISBN
    978-3-642-22361-7/pbk). Lecture Notes in Computer Science 6787, 438-441
    (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: user profiling; folksonomy; clustering
ci: 
li: doi:10.1007/978-3-642-22362-4_46
ab: Summary: This work exploits folksonomy for building User Interest Profile
    (UIP) based on user’s search history. UIP is an indispensable source
    of knowledge which can be exploited by intelligent systems for query
    recommendation, personalized search, and web search result ranking etc.
    A UIP consist of a clustered list of concepts and their weights. We
    show how to design, implement, and visualize such a system, in
    practice, which aids in finding interesting relationships between
    concepts and detect outliers, if any. The experiment reveals that UIP
    not only captures user interests but also its context and results are
    very promising.
rv: