Title :
Ontological user profiling for adaptive re-ranking in mobile web search
Author :
Gupta, Disha ; Chavhan, Nekita
Author_Institution :
Dept. of Comput. Sci. & Eng., G.H. Raisoni Coll. of Eng., Nagpur, India
Abstract :
Due to the explosion of digital information on the web, web search has become common activity for everyone. Search engine is the most widely used online application for this purpose. With the advancement of mobile technology and networking, mobile web search has gained its own importance in a short span of time. Mobile being a portable, but also a constrained device, it has its own characteristics and limitations in addition to the web search. This paper discusses the issues of personalization in mobile search. A study of different user profiling techniques has been presented, and an ontological approach is proposed. The paper also suggests how the proposed approach can be incorporated in re-ranking process to provide personalized results to each user.
Keywords :
Internet; mobile computing; ontologies (artificial intelligence); search engines; adaptive reranking; mobile Web search; ontological user profiling; search engine; Conferences; Context; Data mining; Mobile communication; Ontologies; Search engines; Web search; Mobile web search; ontology; personalization; re-ranking; user profiling;
Conference_Titel :
Convergence of Technology (I2CT), 2014 International Conference for
Print_ISBN :
978-1-4799-3758-5
DOI :
10.1109/I2CT.2014.7092058