@inproceedings{bfa07d551bfe4075a102664de5a1e605,
title = "Improving engineering information retrieval by combining TD-IDF and product structure classification",
abstract = "Engineering Information Management (EIM) and Information Retrieval (IR) systems are central to the day to day running of large engineering organisations. The capture, interrogation, retrieval and presentation of information from design to disposal is considered to be a key enabler for greater efficiency and decision making and in turn improved productivity, profitability and competitiveness. This paper presents a contribution to the field of engineering IR through combining TF-IDF with classification against the product structure. The results of this initial investigation show that Precision, Recall and F1-Scores can be improved depending on the method of results integration and thus tailored to the search system and context.",
keywords = "Knowledge Management, Information Management, Design informatics, Product Lifecycle Management (PLM)",
author = "David Jones and Jason Matthews and Yifan Xie and James Gopsill and Martin Dotter and Ben Hicks",
year = "2017",
month = aug,
day = "21",
language = "English",
isbn = "9781904670940",
volume = "6",
series = "Proceedings of the 21st International Conference on Engineering Design ",
publisher = "The Design Society",
pages = "041--050",
booktitle = "DS 87-6 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 6: Design Information and Knowledge, Vancouver, Canada, 21-25.08.2017",
}