Search Engine Query Recommendation - Using SNA over Query Logs with User Profiles

Lule Ahmedi, Dardan Shabani

2017

Abstract

Recommending the adequate query in search engine for a specific user on the web is still a challenge even for recommender systems today with social networks incorporated. In this paper we present a query recommender that in addition to relying on similarity of the actual query posted by current user to queries in a query log in search engine, it also bases on social network analysis (SNA) to first find most similar users to the current user based on their profiles, and then recommend their most similar queries to current user. Calculation of the similarity of users follows an existing approach for Points of Interest (POIs) recommendation, which applies certain SNA ranking algorithms over concurrent users based on their social profiles in the login session.

Paper Citation

in Harvard Style

Ahmedi L. and Shabani D. (2017). Search Engine Query Recommendation - Using SNA over Query Logs with User Profiles . In Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-246-2, pages 370-375. DOI: 10.5220/0006363803700375

in Bibtex Style

@conference{webist17,
author={Lule Ahmedi and Dardan Shabani},
title={Search Engine Query Recommendation - Using SNA over Query Logs with User Profiles},
booktitle={Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2017},
pages={370-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006363803700375},
isbn={978-989-758-246-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Search Engine Query Recommendation - Using SNA over Query Logs with User Profiles
SN - 978-989-758-246-2
AU - Ahmedi L.
AU - Shabani D.
PY - 2017
SP - 370
EP - 375
DO - 10.5220/0006363803700375