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

Lule Ahmedi, Dardan Shabani

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.

References

  1. Ahmedi, L., Rrmoku, K. & Sylejmani, K., 2012. Tourist tour planning supported by social network analysis. Washington D.C, International Conference on Social Informatics.
  2. Carrer-Neto, W., Hernandez-Alcaraz, M. L., ValenciaGarcia, R. & Garcia-Sanchez, F., 2012. Social knowledge-based recommender system. Application to the movies domain. Expert Systems with Applications, 39(12), pp. 10990-11000.
  3. Cheng, H. & CantĂș-Paz, E., 2010. Personalized click prediction in sponsored search. s.l., Proceedings of the Third ACM international Conference on Web Search and Data Mining.
  4. He, J. & Chu, W. W., 2010. A Social Network-Based Recommender System. s.l.:Springer.
  5. Kang, D. et al., 2013. Content Recommendation Method Using FOAF and SNA. In: Advanced Technologies, Embedded and Multimedia for Human-centric Computing. s.l.:Springer, pp. 93-104.
  6. Konstas, I., Stathopoulos, V. & Jose, J. M., 2009. On social networks and collaborative recommendation. New York, Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval.
  7. Phillips, J. M., 2013. Jaccard Similarity and Shingling, Utah: University of Utah.
  8. Shokouhi, M., 2013. Learning to Personalize Query Autocompletion. Dublin, Ireland, ACM, New York, NY, USA, pp. 103--112.
  9. Sohn, J.-S., Bae, U.-B. & Chung, I.-J., 2013. Contents Recommendation Method Using Social Network Analysis. Wireless Personal Communications , 73(4), pp. 1529-15646.
  10. Wasserman, S. & Faust, K., 1994. Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press.
  11. Wen, J.-R., Nie, J.-Y. & Zhang, H.-J., 2001. Clustering User Queries of a Search Engine. Hong Kong, Proceedings of the 10th International Conference on World Wide Web.
  12. Wu, S.-H., Hsieh, Y.-H., Chen, L.-P. & Ku, T., 2015. Integrating Social Features and Query Type Recognition in the Suggestion Track of CLEF 2015 Social Book Search Lab. s.l., Proceedings of the 6th International Conference on Experimental IR Meets Multilinguality, Multimodality, and Interaction.
  13. Zhang, Z. & Nasraoui, O., 2008. Mining Search Engine Query Logs for Social Filtering-based Query Recommendation. Applied Soft Computing, 8(4), pp. 1326-1334.
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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