@inproceedings{ca7daa805f4641a98834ed94268a96e6,
title = "PRISENIT-A Probabilistic Search Recommendation Algorithm to Improve Search Efficiency for Network Intelligence and Troubleshooting",
abstract = "When searching for data in a telecommunications network management application, large search result sets are common. In order to refine the results to retrieve useful information existing systems normally require additional user intervention such as appending or removing a search keyword, adding a filter, grouping results, etc. This work proposes a Probabilistic Search Recommendation Algorithm to Improve Search Efficiency for Network Intelligence and Troubleshooting (PRISENIT). PRISENIT is a query-based recommendation algorithm intended to improve search efficiency and usability for telecommunication system management. PRISENIT is an extension of an item-based collaborative filtering algorithm. It uses correlation-based similarity and users' implicit feedback in order to improve search efficiency. It learns from previous experiences in order to optimize decision-making. Currently there exists no known query-based recommender adaptation mechanism for network management. Existing search engines use previous user searches to make a suggestion based on the keyword. PRISENIT not only considers search terms, it also considers the influence of filters and features in order to makes network searches more efficient as it removes the necessity for users to manually choose search features or search filters. Experimental results show that PRISENIT can improve user experience in a telecommunications management environment.",
keywords = "Network management, item-based collaborative filtering, query-based recommender, recommender system",
author = "Mikel Zuzuarregui and Enda Fallon and Mingxue Wang and John Keeney and Paul Jacob",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th UKSim-AMSS International Conference on Computer Modelling and Simulation, UKSim 2015 ; Conference date: 25-03-2015 Through 27-03-2015",
year = "2016",
month = sep,
day = "23",
doi = "10.1109/UKSim.2015.30",
language = "English",
isbn = "9781479987122",
series = "Proceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "355--360",
editor = "Richard Cant and Alessandra Orsoni and Ismail Saad and David Al-Dabass and Zuwairie Ibrahim",
booktitle = "Proceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015",
address = "United States",
}