The SINAI1 research group presents some results obtained after performing a brief analysis to the query logs from The European Library2 (TEL). The objective of the LogCLEF task is to analyze user behavior with a focus on multilingual search. The analysis carried out in this paper is related to the languages used in sessions, the number of interactions per session and the separability of sessions according to the words in the query. As a main conclusion, we can observe that after applying the Principal Component Analysis (PCA), just keeping two components over the different features extracted per session, the 95% of the variance of the data is preserved.
José M. Perea-Ortega, Arturo Montejo R&aacu