Capturing Multiple Interests in News Video Retrieval by Incorporating the Ostensive Model
Frank Hopfgartner, David M. Hannah, Nicholas Gildea, Joemon M. Jose · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · 2008
We propose an adaptive news video retrieval approach which is based on the Ostensive Model of developing information needs. We therefore introduce a news video retrieval system called NewsBoy which captures the users’ implicit interactions with its graphical interface, extracts terms from visited video documents and stores them in user profiles. The terms are weighted based on the type of implicit feedback, multiple interests are identified by clustering the content of the profile. In this paper, we describe the architecture of the system and introduce our approach of adding the ostensive factor to capture the users’ evolving interest. Preliminary results show the acceptance of the system and highlights drawbacks.