Personalization in professional academic search
In this paper, we investigated how academic search can profit from personalization by incorporating query history and background knowledge in the ranking of the results. We implemented both techniques in a language modelling framework, using the Indri search engine. For our experiments, we used the iSearch data collect...
Suzan Verberne, Maya Sappelli, Diana Ransgaard Sørensen et al.
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