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Relevance-Based Retrieval on Hidden-Web Text Databases Without Ranking Support

Hristidis, Vagelis - 2010

Many online or local data sources provide powerful querying mechanismsbut limited ranking capabilities. For instance … thispaper we present algorithms that return the top results for a query,ranked according to an IR-style ranking function, while … operating on topof a source with a Boolean query interface with no ranking capabilities(or a ranking capability of no interest …

Persistent link: https://www.econbiz.de/10013137401

Relevance-based Retrieval on Hidden-Web Text Databases without Ranking Support

Hristidis, Vagelis - 2012

Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance … user would typically prefer a ranking by relevance, measured by an information retrieval (IR) ranking function. A naive …-style ranking function, while operating on top of a source with a Boolean query interface with no ranking capabilities (or a ranking …

Persistent link: https://www.econbiz.de/10013116736

Comments on "Ranking researchers : evidence from Indonesia" by Fry et al. (2023)

Irawan, Dasapta Erwin; Abraham, Juneman; Ridlo, Ilham … - In: Research policy : policy, management and economic … 52 (2023) 7, pp. 1-4

Persistent link: https://www.econbiz.de/10014317037

Patent clustering and outlier ranking methodologies for attributed patent citation networks for technology opportunity discovery

Rodriguez, Andrew; Tosyali, Ali; Kim, Byunghoon; Choi, … - In: IEEE transactions on engineering management : EM 63 (2016) 4, pp. 426-437

Persistent link: https://www.econbiz.de/10011614032

Proposing a new model of failure mode and effect analysis for clustering and ranking of manufacturing process

Razi, Farshad Faezy; Hoseini, Ehsan - In: International journal of productivity and quality … 21 (2017) 1, pp. 45-71

Persistent link: https://www.econbiz.de/10011748581

Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content

Ghose, Anindya; Ipeirotis, Panagiotis G.; Li, Beibei - In: Marketing science : the marketing journal of the … 31 (2012) 3, pp. 493-520

Persistent link: https://www.econbiz.de/10009562944

MPOC : an agglomerative algorithm for multicriteria partially ordered clustering

Rocha, Clara; Dias, Luis C. - In: 4OR : a quarterly journal of operations research 11 (2013) 3, pp. 253-273

Persistent link: https://www.econbiz.de/10010205347

A developing model for clustering and ranking bank customers

Sajjadi, Khalil; Khatami-Firuzabadi, Mohammad Ali; … - In: International journal of electronic customer … 9 (2015) 1, pp. 73-86

Persistent link: https://www.econbiz.de/10011575152

A new hierarchical multiple criteria ordered clustering approach as a complementary tool for sorting and ranking problems

Díaz, Raymundo; Fernández, Eduardo; Figueira, José Rui; … - In: Omega : the international journal of management science 117 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10014281839

Maximum entropy based significance of itemsets

Tatti, Nikolaj - In: Knowledge and information systems : an international journal 17 (2008) 1, pp. 57-77

Persistent link: https://www.econbiz.de/10003781645

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