Result merging strategies for a current news metasearcher

Rasolofo, Yves; Hawking, David; Savoy, Jacques

doi:10.1016/s0306-4573(02)00122-x

Cited by 37 publications

(33 citation statements)

References 7 publications

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“…In order to overcome the drawback of the RR strategy, Rasolofo et al (2003) proposed a general scoring function, which returns comparable scores based on various document fields, e.g., document title, article summary, etc. Given a document D and a query Q, the similarity function is defined as follows:…”

Section: Search Results Merging Strategymentioning

confidence: 99%

LESSON: A system for lecture notes searching and sharing over Internet

Zhou

Guan

2010

Journal of Systems and Software

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Section: Search Results Merging Strategymentioning

confidence: 99%

LESSON: A system for lecture notes searching and sharing over Internet

Zhou

Guan

2010

Journal of Systems and Software

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“…Summary generation can reference pre-established categories [15], or attempt to develop new categories as current events get processed [1]. Other researchers use information retrieval methodologies to summarize data from multiple websites into one meta-site, allowing a user to go to one place to access news stories pulled from various sources [24,26]. A popular user-centered approach is to employ machine learning to adapt the presentation of news to the specific needs of the reader [5,18,27].…”

Section: Literature Reviewmentioning

confidence: 99%

Micro-Longitudinal Analysis of Web News Updates

Kutz

Herring

Proceedings of the 38th Annual Hawaii International Conference on System Sciences

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“…Building on Rasolofo et al [24], we followed the second approach to implement the CMRP framework within the PIV 3 meta-search engine.…”

Section: Piv 3 Meta-engine Implementing Cmrp Frameworkmentioning

confidence: 99%

Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness?

Palacio

Sallaberry

Cabanac

et al. 2012

Lecture Notes in Geoinformation and Cartography

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Abstract. In an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +). However, most of users' information needs involve more expressiveness (e.g., 'Potato famine in Ireland, but not in Cork' ). Our work deals with this category of queries that may be processed by geographic IR (GIR) systems to parse digital libraries according to spatial, temporal and topical criteria. We propose a GIR framework that supports expressive queries and aggregates results of a multi-criteria search. We also conduct experiments to verify that this approach improves the effectiveness of such search engines (improvement of 27% for topical criteria only, and of 54% for spatial and temporal criteria).

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Result merging strategies for a current news metasearcher

Cited by 37 publications

References 7 publications

LESSON: A system for lecture notes searching and sharing over Internet

LESSON: A system for lecture notes searching and sharing over Internet

Micro-Longitudinal Analysis of Web News Updates

Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness?

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