RECOMMENDED RETRIEVAL WORD PRESENTATION SYSTEM

• 1. 一种流行检索词的挖掘、推荐方法及装置 [P] . 中国专利： CN103198072B . 2018.11.13
• 2. 一种用户检索词推荐的方法及系统 [P] . 中国专利： CN103150409B . 2017.04.12
• 3. INFORMATION RETRIEVAL SYSTEM, RETRIEVAL KEYWORD PRESENTATION METHOD, AND PROGRAM [P] . 日本专利： JP2012138027A . 2012-07-19

  机译： 信息检索系统，检索关键词表示方法及程序

• 4. Information retrieval system for recommending the input word candidate [P] . 日本专利： JP4073734B2 . 2008-04-09

  机译： 推荐输入单词候选者的信息检索系统

• 5. INFORMATION RETRIEVAL SYSTEM RECOMMENDING INPUT WORD CANDIDATE [P] . 日本专利： JP2004078618A . 2004-03-11

  机译： 信息检索系统推荐输入单词候选

• 1. Using author-specified keywords in building an initial reading list of research papers in scientific paper retrieval and recommender systems [J] . Aravind Sesagiri Raamkumar, Schubert Foo, Natalie Pang Information Processing & Management . 2017,第3期
• 2. Enhanced bag of visual words representations for content based image retrieval: a comparative study [J] . Arun K. S., Govindan V. K., Kumar S. D. Madhu Artificial Intelligence Review: An International Science and Engineering Journal . 2020,第3期
• 3. Retrieval activates related words more than presentation [J] . Hausman Hannah, Rhodes Matthew G. Memory . 2018,第9a10期
• 4. Fine Tuning Consumer Feedback Based Recommender Systems Using Deep Learning Models on Word Vector Space Representations [C] . Gurpreet Singh Bawa Bawa, Sanjay Sharma, Kaustav Pakira, International Conference on Computational Science and Computational Intelligence . 2019
• 5. Does Retrieval Activate Related Words More Than Presentation? [D] . Hausman, Hannah. 2017
• 6. Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images [O] . Wei Yang, Zhentai Lu, Mei Yu, 2012
• 7. An effective content-based image retrieval technique for image visuals representation based on the bag-of-visual-words model [O] . Safia Jabeen, Zahid Mehmood, Toqeer Mahmood, 2018
• 8. Context as the Building Blocks of Meaning: A Retrieval Model for the Semantic Representation of Words. [R] . Kwantes, P. J. 2003

• 1. Recommender System for Information Retrieval Using Natural Language Querying Interface Based in Bibliographic Research for Na#239;ve Users [J] . Mohamed Chakraoui ,Abderrafiaa Elkalay ,Naoual Mouhni . 智能科学国际期刊(英文) . 2022,第1期
• 2. Response Inhibition and Memory Retrieval of Emotional Target Words: Evidence from an Emotional Stop-Signal Task [J] . Cornelia Herbert ,Stefan Sütterlin . 行为与脑科学期刊（英文） . 2011,第3期
• 3. An efficient hybrid recommendation model based on collaborative filtering recommender systems [J] . Mohammed Fadhel Aljunid ,Manjaiah Doddaghatta Huchaiah . 智能技术学报 . 2021,第004期
• 4. Adversarial Attacks on Content-Based Filtering Journal Recommender Systems [J] . Zhaoquan Gu ,Yinyin Cai ,Sheng Wang . 计算机、材料和连续体(英文) . 2020,第9期
• 5. Recommender Systems Based on Evolutionary Computing: A Survey [J] . Maryam Sadeghi ,Seyyed Amir Asghari . 软件工程与应用（英文） . 2017,第5期
• 6. 科技查新中检索词的选择与检索式的制定 [C] . 何玉芳 . 2014年湖北省图书馆学会年会 . 2014
• 7. 基于检索词扩展和文本表示的文库搜索引擎 [A] . 杨加玉 . 2017