Location Based Suggestion of Keyword Queries

Información del proyecto

LBSKQ

Identificador del acuerdo de subvención: 657347

DOI

10.3030/657347

Proyecto cerrado

Fecha de la firma de la CE 13 Marzo 2015

Fecha de inicio 1 Abril 2015

Fecha de finalización 31 Julio 2018

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 164 653,20

Aportación de la UE

€ 164 653,20

Coordinado por

PANEPISTIMIO IOANNINON
Greece

Objetivo

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

Palabras clave

• keyword search
• query suggestion
• location-based search

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)
  

Régimen de financiación

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Convocatoria de propuestas

H2020-MSCA-IF-2014

Coordinador

PANEPISTIMIO IOANNINON

• Aportación neta de la UEn: € 164 653,20
• Dirección: PANEPISTEMIOYPOLE PANEPISTEMIO IOANNINON ; 45 110 IOANNINA ; Grecia
• Tipo de actividad: Higher or Secondary Education Establishments
• Coste total: € 164 653,20