CHIEN-KANG HUANGChien L.-FYEN-JEN OYANG2022-11-162022-11-162000https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121228716&partnerID=40&md5=619478f50d0aaaed583caf871596e422https://scholars.lib.ntu.edu.tw/handle/123456789/625495A new effective log-based approach for interactive Web search is presented in this paper. The most important feature of the proposed approach is that the suggested terms corresponding to the user's query are extracted from similar query sessions, rather than from the contents of the retrieved documents. The experiment results demonstrate that this approach has a great potential in developing more effective web search utilities and may inspire more studies on advanced log mining mechanisms. © Proceedings of the 13th Conference on Computational Linguistics and Speech Processing, ROCLING 2000.Computational linguistics; Speech processing; Websites; Clusterings; Important features; Interactive Web search; Log mining; Retrieved documents; User query; Web searches; Information retrievalconference paper2-s2.0-85121228716