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DCU-TCD@LogCLEF20 2010: Re-ranking Document Collections and Query Performance Estimation
BibTeX
@MISC{Leveling_dcu-tcd@logclef202010:,
author = {Johannes Leveling and M. Rami Ghorab and Walid Magdy and Gareth J. F. Jones and Vincent Wade},
title = {DCU-TCD@LogCLEF20 2010: Re-ranking Document Collections and Query Performance Estimation},
year = {}
}
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Abstract
This paper describes the collaborative participation of Dublin City University and Trinity College Dublin in LogCLEF 2010. Two sets of experiments were conducted. First, different aspects of the TEL query logs were analysed after extracting user sessions of consecutive queries on a topic. The relation between the queries and their length (number of terms) and position (first query or further reformulations) was examined in a session with respect to query performance estimators such as query scope, IDF-based measures, simplified query clarity score, and average inverse document collection frequency. Results of this analysis suggest that only some estimator values show a correlation with query length or position in the TEL logs (e.g. similarity score between collection and query). Second, the relation between three attributes was investigated: the user’s country (detected from IP address), the query language, and the interface language. The investigation aimed to explore the influence of the three attributes on the user’s collection selection. Moreover, the investigation involved assigning different weights to the three attributes in a scoring function that was used to re-rank the collections displayed to the user according to the language and country. The results of the collection re-ranking show a significant improvement in Mean Average Precision (MAP) over the original collection ranking of TEL. The results also indicate that the query language and interface language have more influence than the user’s country on the collections selected by the users.
Keyphrases
query performance estimation re-ranking document collection interface language user country query language tel log first query idf-based measure estimator value tel query log query length significant improvement different weight trinity college dublin different aspect consecutive query average inverse document collection frequency user session similarity score user collection selection collection re-ranking show dublin city university ip address query clarity score performance estimator original collection ranking mean average precision query scope scoring function collaborative participation
