By Matthias Geier, Sascha Spors, Stefan Weinzierl (auth.), Marcin Detyniecki, Ulrich Leiner, Andreas Nürnberger (eds.)
This quantity constitutes the refereed complaints of the sixth overseas Workshop on Adaptive Multimedia Retrieval, AMR 2008, held in Berlin, Germany, in June 2008.
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Extra resources for Adaptive Multimedia Retrieval. Identifying, Summarizing, and Recommending Image and Music: 6th International Workshop, AMR 2008, Berlin, Germany, June 26-27, 2008. Revised Selected Papers
With regard to the results achieved with the active learning scheme discussed in , the system instantly reacts after receiving a new user rating and adapts the playlist. In the following sections, the components of the UFB system are described in detail. 4. 2 Profile Extraction To analyze the importance of audio features, it is essential to reveal the arrangement of the lists from the classiﬁcation engine. This is realized by extracting a proﬁle for each song occuring at least in one list. Therefor, the classiﬁcation engine is queried with a song to create a list for every audio feature.
In the worst case, the users would try to adapt to the system based on a incorrect mental model lowering the quality of the results even more. 3 Initial Weighting Approaches As mentioned before, initial condition weighting plays a special role for a user-satisfying relevance feedback process. Based on initial weights, first results are generated and shown to the user. Along with all other weighted queries during the entire process, the results are compared to the users’ subjective perception of similarity and their mental image of an optimal search result.
However, with respect to our scenario, we are faced with a dilemma if we state the following requirements chosen to be near to a human comprehension of search: 1. The laws of Boolean algebra should be supported. 2. The result of a conjunction/disjunction of conditions on different properties should be sensitive to changes of both input truth values. Fulfilling the first requirement provides the standard t-norm/t-conorm min/max for conjunction and disjunction which unfortunately does not satisfy the second requirement.