Weight-Adjustable Ranking for Keyword Search in Relational Databases
學年 107
學期 1
發表日期 2018-08-08
作品名稱 Weight-Adjustable Ranking for Keyword Search in Relational Databases
作品名稱（其他語言）
著者 Chichang Jou, Sian Lun Lau
作品所屬單位
出版者
會議名稱 International Conference on Intelligent and Interactive Computing 2018 (IIC 2018)
會議地點 Melaka, Malaysia
摘要 Huge volumes of invaluable information are hidden behind web relational databases. They could not be extracted by search engines. The problem is especially severe for long text data, for example: book reviews, company descriptions, and product specifications. Many researches have investigated to integrate information retrieval and database indexing technologies to provide keyword search functionality for these useful contents. Due to diversifying data relationships in application domains and miscellaneous personal preferences, current ranking results of related researches do not satisfy user requirements. We design and implement a Weight-Adjustable Ranking for Keyword Search (WARKS) system to address the issue. Mean average precision (MAP) and mean rank reciprocal difference (MRRD) are proposed as measurements of ranking effectiveness. We use an integrated international trade show database as our experimental domain. User study demonstrates that WARKS performs better than previous practices.
關鍵字 Keyword Search, Information Retrieval, Ranking, Mean Average Precision, Rank Reciprocal Difference
語言 en_US
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20180808~20180809
通訊作者 Chichang Jou
國別 MYS
公開徵稿
出版型式
出處 NA
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115342 )