Selection of search terms based on user profile
Sanjiv K. Bhatia · 1992
A number of researchers have addressed the problem of selecting additional search terms for a query using term dependency information.Some other techniques rely on the construction of user profiles and the identification of individual users with a class of users having known backgrounds.In other words, these latter techniques for the construction of user profiles do not consider user preferences at the level of individual users.In this paper, we present a new technique for the construction of a user profile in the form of a concept (construct) dependence tree.This technique makes use of personal construct theory that involves active user participation.The user profile captures the user preferences and may be used to select additional search terms.Our initial results indicate that the dependence tree generated by this technique can improve retrieval effectiveness.