Abstract
The main obstacle for providing focused search is the relative opaqueness of search request -- searchers tend to express their complex information needs in only a couple of keywords. Our overall aim is to find out if, and how, topic-based language models can lead to more effective web information retrieval. In this paper we explore retrieval performance of a topic-based model that combines topical models with other language models based on cross-entropy. We first define our topical categories and train our topical models on the .GOV2 corpus by building parsimonious language models. We then test the topic-based model on TREC8 small Web data collection for ad-hoc search.Our experimental results show that the topic-based model outperforms the standard language model and parsimonious model.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Dutch-Belgian Information Retrieval Workshop (DIR 2008) |
| Editors | E. Hoenkamp, M. De Cock, V. Hoste |
| Place of Publication | Enschede |
| Publisher | Neslia Paniculata |
| Pages | 65-71 |
| Number of pages | 7 |
| ISBN (Print) | 978-90-5681-282-9 |
| Publication status | Published - 14 Apr 2008 |
| Event | 8th Dutch-Belgian Information Retrieval Workshop, DIR 2008 - Maastricht, Netherlands Duration: 14 Apr 2008 → 15 Apr 2008 Conference number: 8 |
Conference
| Conference | 8th Dutch-Belgian Information Retrieval Workshop, DIR 2008 |
|---|---|
| Abbreviated title | DIR |
| Country | Netherlands |
| City | Maastricht |
| Period | 14/04/08 → 15/04/08 |
Keywords
- DB-IR: INFORMATION RETRIEVAL
- IR-64722
- METIS-250952
- EWI-12277
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Cite this
Li, R., Kaptein, R., Hiemstra, D., & Kamps, J. (2008). Exploring Topic-based Language Models for Effective Web Information Retrieval. In E. Hoenkamp, M. De Cock, & V. Hoste (Eds.), Proceedings of the Dutch-Belgian Information Retrieval Workshop (DIR 2008) (pp. 65-71). Enschede: Neslia Paniculata.