Hengzhi Wu, Gabriella Kazai, and Thomas Roelleke
This paper proposes a probabilistic logic abstraction for modelling tf -boosting approaches for page-search in book retrieval. The back-of-book index can be viewed as a list of anchors pointing to pages. An initial strategy deploys a hypertext-based modelling which turns out to be naive, since the propagation of anchor-text from the book index does not deliver the desired tf -boosting effect. For achieving a tf -boosting effect from the book index, we propose a novel anchor-text model.
|Published in||SIGIR 2008 Workshop on Focused Retrieval|
|Publisher||Association for Computing Machinery, Inc.|
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or firstname.lastname@example.org. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.