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Proceedings Paper

Data mining learning bootstrap through semantic thumbnail analysis
Author(s): Sebastiano Battiato; Giovanni Maria Farinella; Giovanni Giuffrida; Giuseppe Tribulato
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Paper Abstract

The rapid increase of technological innovations in the mobile phone industry induces the research community to develop new and advanced systems to optimize services offered by mobile phones operators (telcos) to maximize their effectiveness and improve their business. Data mining algorithms can run over data produced by mobile phones usage (e.g. image, video, text and logs files) to discover user's preferences and predict the most likely (to be purchased) offer for each individual customer. One of the main challenges is the reduction of the learning time and cost of these automatic tasks. In this paper we discuss an experiment where a commercial offer is composed by a small picture augmented with a short text describing the offer itself. Each customer's purchase is properly logged with all relevant information. Upon arrival of new items we need to learn who the best customers (prospects) for each item are, that is, the ones most likely to be interested in purchasing that specific item. Such learning activity is time consuming and, in our specific case, is not applicable given the large number of new items arriving every day. Basically, given the current customer base we are not able to learn on all new items. Thus, we need somehow to select among those new items to identify the best candidates. We do so by using a joint analysis between visual features and text to estimate how good each new item could be, that is, whether or not is worth to learn on it. Preliminary results show the effectiveness of the proposed approach to improve classical data mining techniques.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060P (29 January 2007); doi: 10.1117/12.708204
Show Author Affiliations
Sebastiano Battiato, Univ. di Catania (Italy)
Giovanni Maria Farinella, Univ. di Catania (Italy)
Giovanni Giuffrida, Univ. di Catania (Italy)
Giuseppe Tribulato, Univ. di Catania (Italy)


Published in SPIE Proceedings Vol. 6506:
Multimedia Content Access: Algorithms and Systems
Alan Hanjalic; Raimondo Schettini; Nicu Sebe, Editor(s)

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