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A model for a SOft Fusion of Information Accesses on the web

A model for a SOft Fusion of Information Accesses on the web,10.1016/j.fss.2004.03.008,Fuzzy Sets and Systems,Gloria Bordogna,Gabriella Pasi

A model for a SOft Fusion of Information Accesses on the web   (Citations: 10)
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In this paper, the definition of a Meta search engine model named SOFIA (SOft Fusion of Information Access) is proposed that applies a soft and flexible fusion of the ranked lists of documents retrieved by distinct search engines available over the Internet. The peculiarity of the fusion is that the final rank is not determined by a linear combination of the ranks in the lists, as generally happens in most metasearch engines. Instead, a linguistic quantifier modeled by an Induced Ordered Average (IOWA) operator that allows us to realize soft fusions in between that of the intersection and the union of the lists respectively expresses the fusion criterion. Flexibility is obtained by allowing user to specify his/her retrieval attitude that can be either recall or precision oriented, and by computing distinct fitness scores of the search engines based on a relevance feedback mechanism. These scores are used to define the IOWA reorder vector. In this way, the search engines with highest fitness determine more heavily the ranking of the documents in the fused list.
Journal: Fuzzy Sets and Systems - FSS , vol. 148, no. 1, pp. 105-118, 2004
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    • ...Multiple criteria techniques were previously used in IR, especially in information filtering (Pasi et al. 2007) as well as in data fusion (Bordogna et al. 2003; Bordogna and Pasi 2004)...

    Mohamed Farahet al. An outranking approach for information retrieval

    • ...The OWA operator of dimension “m” is a mapping f: R m ! R that has an associated m vector W = [w1, w2, … ,wm], such that wi " [0,1] and # wi = 1...
    • ...As explained in [1] the positioning of the document in the retrieved list depends on the retrieval criteria adopted to represent the accessible document by the search engine...
    • ...As given in [1], each product Pj has a position with respect to the attribute query q as pjn = Lnq(Pj) in the nth list Lnq...
    • ...The performance judgment [1]of each product Pj, expressed by the n search engines are n scores as Cj1,Cj2, …Cjn obtained by the position of the product in the n ranked list Lnq as follows : ) nj ' 1 1 nq...
    • ...Dividing the product information list by 1000 uniformly and using the procedure given in [1], the performance judgments of the information are obtained from equation (4.4) in the Table 3...

    B. K. Mohantyet al. Web based information for product ranking in e-business: a fuzzy appro...

    • ...This work1 employs fuzzy sets and logic approach on ranked lists fusion, as suggested in [3] and [4]...

    Wiratna S. Wigunaet al. Using Fuzzy Model for Combining and Reranking Search Result from Diffe...

    • ...Some studies on aggregation tools in the meta-search engines can be found in [25, 24, 26, 27]...
    • ...As it was shown in [25], they can be very useful in the development of meta-search engines...

    Enrique Herrera-Viedmaet al. Applying Aggregation Operators for Information Access Systems: An Appl...

    • ...Bordogna and Pasi also proposed an approach with such an objective and the same general philosophy [19], but they use a so-called Induced A Preference Query Model Based on a Fusion of Local Orders 733...

    Patrick Boscet al. A Preference Query Model Based on a Fusion of Local Orders

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