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.
['Alejandro Figueroa', 'Guenter Neumann']
Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries