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A New Approach of a List of Items for Search Retrieval Systems

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1105))

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Abstract

Information retrieval systems help to have search results page (also called SERP) is a web page automatically generated by a search engine. The displayed search results are generated automatically according to the keywords entered by the net surfers but challenges are Internet users they have ideas but it saves well the word suitable. The results are presented in the form of a list and the most relevant results for the search engine are at the top of the list. The ranking of the results for some requests the presentation of the results can be different. It is the taking into account of the need for precise information of the user that motivated the emergence of such systems. system can be opposed to an Internet search engine like Google or Yahoo! Wiki Answers, Answers and domain-specific forums like Stack Overflow. On certain specific points. Although the idea of receiving a direct and targeted response to an issue seems very attractive, the quality of the question itself can have a significant effect on the likelihood of obtaining useful responses. Such an information retrieval paradigm is particularly appealing when the problem cannot be answered directly by the search engines due to the unavailability of relevant online content. A good understanding of the underlying purpose of an issue is important to better meet the information needs of the user. In this paper, we propose a new approach to detect the user’s intent by the method of recommendation of a list of items without calculation of prediction based on the co-dissimilarity and the tree covering minimum weight based on the theory of graphs. To improve the ranking of a website in organic search results to increase visibility and quality.

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Author information

Authors and Affiliations

  1. Laboratory Engineering Sciences and Energies Polydisciplinary Faculty Ouarzazate, Ibn Zohr University, Agadir, Morocco

    Salma Gaou

  2. Laboratory of Mathematics, Computing and Applications - Information Security (LabMiA-SI), Department of Mathematics, Faculty of Sciences, Mohammed-V University in Rabat, Rabat, Morocco

    Mohamed Fihri

Authors
  1. Salma Gaou
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  2. Mohamed Fihri
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Corresponding author

Correspondence to Salma Gaou .

Editor information

Editors and Affiliations

  1. Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

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Gaou, S., Fihri, M. (2020). A New Approach of a List of Items for Search Retrieval Systems. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1105. Springer, Cham. https://doi.org/10.1007/978-3-030-36674-2_6

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