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LBSKQ SIGNED

Location Based Suggestion of Keyword Queries

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "LBSKQ" data sheet

The following table provides information about the project.

Coordinator
PANEPISTIMIO IOANNINON 

Organization address
address: PANEPISTEMIOYPOLE PANEPISTEMIO IOANNINON
city: IOANNINA
postcode: 45110
website: www.uoi.gr / www.rc.uoi.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Project website http://www.cs.uoi.gr/
 Total cost 164˙653 €
 EC max contribution 164˙653 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2015
 Duration (year-month-day) from 2015-04-01   to  2017-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PANEPISTIMIO IOANNINON EL (IOANNINA) coordinator 164˙653.00

Map

 Project objective

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

 Publications

year authors and title journal last update
List of publications.
2017 Zhipeng Huang, Nikos Mamoulis
Location-Aware Query Recommendation for Search Engines at Scale
published pages: 203-220, ISSN: , DOI: 10.1007/978-3-319-64367-0_11
Proceedings of the 15th International Symposium on Spatial and Temporal Databases (SSTD) 2019-06-13
2017 Yuqiu Qian, Ziyu Lu, Nikos Mamoulis, David W. Cheung
P-LAG: Location-aware Group Recommendation for Passive Users
published pages: 242-259, ISSN: , DOI: 10.1007/978-3-319-64367-0_13
Proceedings of the 15th International Symposium on Spatial and Temporal Databases (SSTD) 2019-06-13
2018 Dingming Wu, Jieming Shi, Nikos Mamoulis
Density-Based Place Clustering Using Geo-Social Network Data
published pages: 838-851, ISSN: 1041-4347, DOI: 10.1109/TKDE.2017.2782256
IEEE Transactions on Knowledge and Data Engineering 30/5 2019-06-13
2018 Z. Huang, B. Cautis, R. Cheng, Y. Zheng, N. Mamoulis, and J. Yan
Entity-Based Query Recommendation for Long-Tail Queries
published pages: , ISSN: 1556-4681, DOI:
ACM Transactions on Knowledge Discovery from Data (TKDD) 2019-06-13
2017 Christos Doulkeridis, Akrivi Vlachou, Dimitris Mpestas, Nikos Mamoulis
Parallel and Distributed Processing of Spatial Preference Queries using Keywords
published pages: 318-329, ISSN: , DOI:
Advances in Database Technology - EDBT 2017, 20th International Conference on Extending Database Technology 2019-06-13
2018 Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, Panayiotis Tsaparas
Recommending packages with validity constraints to groups of users
published pages: 345-374, ISSN: 0219-1377, DOI: 10.1007/s10115-017-1082-9
Knowledge and Information Systems 54/2 2019-06-13
2017 Panagiotis Bouros, Nikos Mamoulis
A Forward Scan based Plane Sweep Algorithm for Parallel Interval Joins
published pages: 1346-1357, ISSN: 2150-8097, DOI:
Proceedings of the VLDB Endowment (PVLDB), 10(11): 1346-1357, August 2017. 2019-06-13
2016 Shuyao Qi, Dingming Wu, Nikos Mamoulis
Location Aware Keyword Query Suggestion Based on Document Proximity
published pages: 82-97, ISSN: 1041-4347, DOI: 10.1109/TKDE.2015.2465391
IEEE Transactions on Knowledge and Data Engineering 28/1 2019-06-13
2017 Manolis Terrovitis, Giorgos Poulis, Nikos Mamoulis, Spiros Skiadopoulos
Local Suppression and Splitting Techniques for Privacy Preserving Publication of Trajectories
published pages: 1466-1479, ISSN: 1041-4347, DOI: 10.1109/TKDE.2017.2675420
IEEE Transactions on Knowledge and Data Engineering 29/7 2019-06-13
2018 Y. Fang, R. Cheng, G. Cong, N. Mamoulis, and Y. Li
On Spatial Pattern Matching
published pages: , ISSN: , DOI:
Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE) 2019-06-13

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