Number of co-authors:9
Number of publications with 3 favourite co-authors:Udo Kruschwitz:3M-Dyaa Albakour:2Anne De Roeck:2
Maria Fasli's 3 most productive colleagues in number of publications:Dawei Song:22Udo Kruschwitz:10Anne De Roeck:6
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Publications by Maria Fasli (bibliography)
Albakour, M-Dyaa, Kruschwitz, Udo, Nanas, Nikolaos, Adeyanju, Ibrahim, Song, Dawei, Fasli, Maria and Roeck, Anne De (2012): Analysis of query reformulations in a search engine of a local web site. In: Proceedings of the 2012 BCS-IRSG European Conference on Information Retrieval 2012. pp. 517-521.
This study examines reformulations of queries submitted to a search engine of a university Web site with a focus on (implicitly derived) user satisfaction and the performance of the underlying search engine. Using a search log of a university Web site we examined all reformulations submitted in a 10-week period and studied the relation between the popularity of the reformulation and the performance of the search engine estimated using a number of clickthrough-based measures. Our findings are a step towards building better query recommendation systems and suggest a number of metrics to evaluate query recommendation systems.
© All rights reserved Albakour et al. and/or Springer
Adeyanju, Ibrahim Adepoju, Song, Dawei, Albakour, M-Dyaa, Kruschwitz, Udo, Roeck, Anne De and Fasli, Maria (2012): Adaptation of the concept hierarchy model with search logs for query recommendation on intranets. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2012. pp. 5-14.
A concept hierarchy created from a document collection can be used for query recommendation on Intranets by ranking terms according to the strength of their links to the query within the hierarchy. A major limitation is that this model produces the same recommendations for identical queries and rebuilding it from scratch periodically can be extremely inefficient due to the high computational costs. We propose to adapt the model by incorporating query refinements from search logs. Our intuition is that the concept hierarchy built from the collection and the search logs provide complementary conceptual views on the same search domain, and their integration should continually improve the effectiveness of recommended terms. Two adaptation approaches using query logs with and without click information are compared. We evaluate the concept hierarchy models (static and adapted versions) built from the Intranet collections of two academic institutions and compare them with a state-of-the-art log-based query recommender, the Query Flow Graph, built from the same logs. Our adaptive model significantly outperforms its static version and the query flow graph when tested over a period of time on data (documents and search logs) from two institutions' Intranets.
© All rights reserved Adeyanju et al. and/or ACM Press
Kovalchuk, Yevgeniya and Fasli, Maria (2008): Adaptive strategies for predicting bidding prices in supply chain management. In: Fensel, Dieter and Werthner, Hannes (eds.) Proceedings of the 10th International Conference on Electronic Commerce - ICEC 2008 August 19-22, 2008, Innsbruck, Austria. p. 6.
Fasli, Maria (2006): Shopbots: A Syntactic Present, A Semantic Future. In IEEE Internet Computing, 10 (6) pp. 69-75.
Fasli, Maria and Michalakopoulos, Michael (2005): Supporting Active Learning through Game-Like Exercises. In: ICALT 2005 - Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies 05-08 July, 2005, Kaohsiung, Taiwan. pp. 730-734.
Fasli, Maria and Kruschwitz, Udo (2001): Using Implicit Relevance Feedback in a Web Search Assistant. In: Zhong, Ning, Yao, Yiyu, Liu, Jiming and Ohsuga, Setsuo (eds.) Web Intelligence Research and Development - First Asia-Pacific Conference - WI 2001 October 23-26, 2001, Maebashi City, Japan. pp. 356-360.
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