Query and Product Suggestion for Price Comparison Search Engines based on Query-product Click-through Bipartite Graphs

Lucia Noce, Ignazio Gallo, Alessandro Zamberletti

2016

Abstract

Query suggestion is a technique for generating alternative queries to facilitate information seeking, and has become a needful feature that commercial search engines provide to web users. In this paper, we focus on query suggestion for price comparison search engines. In this specific domain, suggestions provided to web users need to be properly generated taking into account whether both the searched and the suggested products are still available for sale. To this end, we propose a novel approach based on a slightly variant of classical query-URL graphs: the query-product click through bipartite graph. Such graph is built using information extracted both from search engine logs and specific domain features such as categories and products popularities. Information collected from the query-product graph can be used to suggest not only related queries but also related products. The proposed model was tested on several challenging datasets, and also compared with a recent competing query suggestion approach specifically designed for price comparison engines. Our solution outperforms the competing approach, achieving higher results both in terms of relevance of the provided suggestions and coverage rates on top-8 suggestions.

Paper Citation

in Harvard Style

Noce L., Gallo I. and Zamberletti A. (2016). Query and Product Suggestion for Price Comparison Search Engines based on Query-product Click-through Bipartite Graphs . In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-186-1, pages 17-24. DOI: 10.5220/0005753400170024

in Bibtex Style

@conference{webist16,
author={Lucia Noce and Ignazio Gallo and Alessandro Zamberletti},
title={Query and Product Suggestion for Price Comparison Search Engines based on Query-product Click-through Bipartite Graphs},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2016},
pages={17-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005753400170024},
isbn={978-989-758-186-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Query and Product Suggestion for Price Comparison Search Engines based on Query-product Click-through Bipartite Graphs
SN - 978-989-758-186-1
AU - Noce L.
AU - Gallo I.
AU - Zamberletti A.
PY - 2016
SP - 17
EP - 24
DO - 10.5220/0005753400170024