UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Search Result Diversification in Short Text Streams

Liang, S; Yilmaz, E; Shen, H; De Rijke, M; Croft, WB; (2017) Search Result Diversification in Short Text Streams. ACM Transactions on Information Systems , 36 (1) , Article 8. 10.1145/3057282. Green open access

[img]
Preview
Text
Yilmaz_a8-liang_accepted manuscript.pdf - Accepted version

Download (989kB) | Preview

Abstract

We consider the problem of search result diversification for streams of short texts. Diversifying search results in short text streams is more challenging than in the case of long documents, as it is difficult to capture the latent topics of short documents. To capture the changes of topics and the probabilities of documents for a given query at a specific time in a short text stream, we propose a dynamic Dirichlet multinomial mixture topic model, called D2M3, as well as a Gibbs sampling algorithm for the inference. We also propose a streaming diversification algorithm, SDA, that integrates the information captured by D2M3 with our proposed modified version of the PM-2 (Proportionality-based diversification Method -- second version) diversification algorithm. We conduct experiments on a Twitter dataset and find that SDA statistically significantly outperforms state-of-the-art non-streaming retrieval methods, plain streaming retrieval methods, as well as streaming diversification methods that use other dynamic topic models.

Type: Article
Title: Search Result Diversification in Short Text Streams
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3057282
Publisher version: http://dx.doi.org/10.1145/3057282
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Diversity, ad hoc retrieval, data streams
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10045775
Downloads since deposit
123Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item