Integrating social profile to improve the source selection and the result merging process in distributed information retrieval
In this paper we present a new personalized approach, which integrates a social profile into a distributed search system. Most previous studies on distributed information retrieval are based on textual information, and rarely consider any social information. Based on this observation, we propose an...
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| Veröffentlicht in: | Information sciences 2016-04, Vol.336, p.115-128 |
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| container_title | Information sciences |
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| creator | Saoud, Zakaria Kechid, Samir |
| description | In this paper we present a new personalized approach, which integrates a social profile into a distributed search system. Most previous studies on distributed information retrieval are based on textual information, and rarely consider any social information. Based on this observation, we propose an approach which exploits the social profile and the different relations between social entities. We believe that this method can: (i) enhance a query expansion, (ii) personalize and improve both the source selection and the result merging process in distributed information retrieval systems. |
| doi_str_mv | 10.1016/j.ins.2015.12.012 |
| format | Article |
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| fulltext | fulltext |
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| ispartof | Information sciences, 2016-04, Vol.336, p.115-128 |
| issn | 0020-0255 1872-6291 |
| language | eng |
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| source | Access via ScienceDirect (Elsevier) |
| subjects | Folksonomy Information retrieval Merging Merging process Personalized Query processing Searching Social profile Source selection process |
| title | Integrating social profile to improve the source selection and the result merging process in distributed information retrieval |
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