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Location Based Suggestion of Keyword Queries

Query suggestion is a recent and important add-on feature of Web search engines (e.g., Google), which helps users to express their information needs precisely. Specifically, given the fact that the user may not be able to find app... ver más

31/07/2018

UOI RESEARCHCOMMIT...

165K€

Presupuesto del proyecto: 165K€

Líder del proyecto

PANEPISTIMIO IOANNINON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-07-31

MSCA-IF-2014-EF: Marie Skłodowska-Curie Individual F...

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UOI RESEARCHCOMMITTEE

164.65K€ | Lider

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Duración del proyecto: 40 meses Fecha Inicio: 2015-03-13
Fecha Fin: 2018-07-31

Líder del proyecto

PANEPISTIMIO IOANNINON No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 165K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Query suggestion is a recent and important add-on feature of Web search engines (e.g., Google), which helps users to express their information needs precisely. Specifically, given the fact that the user may not be able to find appropriate keywords for her search, the system recommends to her a small set of keyword queries that are likely to match her original intention. As an example, when a user searches for convertible car, she may miss all the documents indexed under cabriolet. Therefore, the engine suggests cabriolet as a follow-up query to the user. There has been extensive research in the past decade on effective query suggestion. However, none of the existing keyword query suggestion methods consider the user’s location. We argue that the queries suggested to a user not only should be semantically relevant to her original query, but also should give results near the user’s location, especially when these queries are expressed by a mobile user; otherwise, the suggested queries might not be of interest to the user. Therefore, there is a need for effective location-based keyword query suggestion (LBKQS) models. The objectives of this project are (1) the development of LBKQS models, (2) the evaluation of the proposed models, (3) the development of efficient and scalable LBKQS techniques based on the most effective models. In the end, we expect our system to provide appropriate query suggestions to mobile users in real-time. The subject of this project is timely and of great interest to the research community and IT industries, therefore the research publications that will arise from it will improve the visibility of European research internationally. The Experienced Researcher (ER) has a notable publications record and extensive experience in subjects related to the proposal (spatial, textual, spatio-textual data management and mining). The project will help him to (i) enhance his skills in the areas of recommender systems, distributed/mobile data managem

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