Sciweavers

SIGIR
2008
ACM
13 years 4 months ago
Learning query intent from regularized click graphs
This work presents the use of click graphs in improving query intent classifiers, which are critical if vertical search and general-purpose search services are to be offered in a ...
Xiao Li, Ye-Yi Wang, Alex Acero
SIGIR
2008
ACM
13 years 4 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
SIGIR
2008
ACM
13 years 4 months ago
Relevance judgments between TREC and Non-TREC assessors
This paper investigates the agreement of relevance assessments between official TREC judgments and those generated from an interactive IR experiment. Results show that 63% of docu...
Azzah Al-Maskari, Mark Sanderson, Paul Clough
SIGIR
2008
ACM
13 years 4 months ago
Evaluation measures for preference judgments
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
Ben Carterette, Paul N. Bennett
SIGIR
2008
ACM
13 years 4 months ago
Predicting when browsing context is relevant to search
We investigate a representative case of sudden information need change of Web users. By analyzing search engine query logs, we show that the majority of queries submitted by users...
Mandar Rahurkar, Silviu Cucerzan
SIGIR
2008
ACM
13 years 4 months ago
Modeling expert finding as an absorbing random walk
We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing ...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
SIGIR
2008
ACM
13 years 4 months ago
Parsimonious relevance models
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
SIGIR
2008
ACM
13 years 4 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
SIGIR
2008
ACM
13 years 4 months ago
SpotSigs: robust and efficient near duplicate detection in large web collections
Motivated by our work with political scientists who need to manually analyze large Web archives of news sites, we present SpotSigs, a new algorithm for extracting and matching sig...
Martin Theobald, Jonathan Siddharth, Andreas Paepc...
SIGIR
2008
ACM
13 years 4 months ago
Improving relevance feedback in language modeling with score regularization
We demonstrate that regularization can improve feedback in a language modeling framework. Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Relevance Fee...
Fernando D. Diaz