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SIGIR
2008
ACM
15 years 6 months ago
Using parsimonious language models on web data
In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefor...
Rianne Kaptein, Rongmei Li, Djoerd Hiemstra, Jaap ...
SIGIR
2008
ACM
15 years 6 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
15 years 6 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
15 years 6 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
15 years 6 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