Contextual source selection for federated search in mobile environment

被引：2

作者：

Hamid, Benachour ^{[1
]}

Samir, Kechid ^{[1
]}

机构：

[1] USTHB, Res Lab Artificial Intelligence LRIA, Dept Comp Sci, Fac Elect & Comp Sci, El Alia BP 32, Algiers, Algeria

来源：

IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA 2016) | 2016年

关键词：

D O I：

10.1109/WAINA.2016.117

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The emergence of new communication technologies and the latest generation of smart-phone devices, allow the user to continuously access the Web, at any time and from any location with different devices. The introduction of the user and his environment in the research process is intended to solve the information overload problem and to increase the accuracy of the retrieval system. In this paper, we present a new approach to select the best sources from different heterogeneous sources by exploiting a multidimensional contextual user profile in a mobile environment, that includes the research situation "time, location ...", the device and the user preferences. We also present our approach to define user and source profiles, using external ontologies and a learning algorithm supervised by user results satisfaction score.

引用

页码：883 / 888

页数：6

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