DFKI-LT - Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries
Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries
2 Proceedings of the 6th International Joint Conference on Natural Language Processing, Nagoya, Japan, IJCNLP, 10/2013
This work proposes to semantically classify question-like search queries (e.g., oil based heel creams) based on the context yielded by preceding search queries in the same user session. Our novel approach is promising as our initial results show that the classification accuracy improved in congruence with the number of previous queries used to model the question context.
Files: BibTeX, ijcnlp2013-v4.pdf