An interesting aspect emerging in mobile information retrieval is related to the several contextual features that can be considered as new dimensions in the relevance assessment process. In this paper, we propose a multidimensional ranking model based on the three dimensions of topic, interest, and location. The peculiarity of our multidimensional ranking lies in a “prioritized combination” of the considered criteria, using the “prioritized scoring” and “prioritized and” operators, which allow flexible personalization of search results according to users’ preferences. In order to evaluate the effectiveness of our model, we propose a simulation based evaluation framework that investigates the integration of the contextual dimensions into the evaluation process. Extensive experimental results obtained by using our simulation framework show the effectiveness of our multidimensional personalized ranking model

Bouidghaghen, O., Tamine Lechani, L., Pasi, G., Cabanac, G., Boughanem, M., Costa Pereira, C. (2011). Prioritized aggregation of multiple context dimensions in mobile IR. In M. Salem, K. Shaalan, F. Oroumchian, A. Shakery, H. Khelalfa (a cura di), Information Retrieval Technology (pp. 169-180). Berlin : Springer [10.1007/978-3-642-25631-8_16].

Prioritized aggregation of multiple context dimensions in mobile IR

PASI, GABRIELLA;
2011

Abstract

An interesting aspect emerging in mobile information retrieval is related to the several contextual features that can be considered as new dimensions in the relevance assessment process. In this paper, we propose a multidimensional ranking model based on the three dimensions of topic, interest, and location. The peculiarity of our multidimensional ranking lies in a “prioritized combination” of the considered criteria, using the “prioritized scoring” and “prioritized and” operators, which allow flexible personalization of search results according to users’ preferences. In order to evaluate the effectiveness of our model, we propose a simulation based evaluation framework that investigates the integration of the contextual dimensions into the evaluation process. Extensive experimental results obtained by using our simulation framework show the effectiveness of our multidimensional personalized ranking model
Capitolo o saggio
contextual criteria; mobile IR; multidimensional personalization; prioritized aggregation; simulation-based evaluation;
mobile IR, multidimensional personalization, contextual criteria, prioritized aggregation, simulation-based evaluation
English
Information Retrieval Technology
Salem, M; Shaalan, K; Oroumchian, F; Shakery, A; Khelalfa, H
2011
978-3-642-25630-1
7097
Springer
169
180
Bouidghaghen, O., Tamine Lechani, L., Pasi, G., Cabanac, G., Boughanem, M., Costa Pereira, C. (2011). Prioritized aggregation of multiple context dimensions in mobile IR. In M. Salem, K. Shaalan, F. Oroumchian, A. Shakery, H. Khelalfa (a cura di), Information Retrieval Technology (pp. 169-180). Berlin : Springer [10.1007/978-3-642-25631-8_16].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/27221
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