Relevance feedback-based optimization of search queries for Patents
In this project, we design a search query optimization system based on the user’s relevance feedback by generating customized query strings for existing patent alerts. Firstly, the Rocchio algorithm is used to generate a search string by analyzing the characteristics of related patents and unrelated...
Main Author: | Cheng, Sijin |
---|---|
Format: | Others |
Language: | English |
Published: |
Linköpings universitet, Interaktiva och kognitiva system
2019
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154173 |
Similar Items
-
Interactive Query Reformulation for Source-Code Search With Word Relations
by: Jinting Lu, et al.
Published: (2018-01-01) -
Query Recommendation Using Hybrid Query Relevance
by: Jialu Xu, et al.
Published: (2018-11-01) -
Effect of Expansion and Reformulation of Query on Improved Precision of Retrieval Results
by: Hoda Shaker, et al.
Published: (2017-06-01) -
Query Expansion : en jämförande studie av Automatisk Query Expansion med och utan relevans-feedback
by: Ekberg-Selander, Karin, et al.
Published: (2007) -
Users' Perceived Difficulties and Corresponding Reformulation Strategies in Google Voice Search
by: Wei Jeng, et al.
Published: (2016-06-01)