CERIST at INEX 2015: Social Book Search Track.
Messaoud Chaa, Omar Nouali · CLEF (Working Notes) · 2015
In this paper, we describe our participation in th e INEX 2015 Social Book Search Suggestion Track (SBS). We have exploited in our experiments only the tags assigned by users to books provided f rom LibraryThing (LT). We have investigated the impact of the weight of each term of the topic in the re- trieval model using two methods. In the first meth od, we have used the TF-IQF formula to assign a weight to each term of the topi c. In the second method, we have used Rocchio algorithm to expand the query and calculate the weight of the tags assigned to the example books mentioned in the book search request. Parameters of our models have been tuned using the topics of INEX 2014 and tested on INEX 2015 Social Book Search track.