• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 27 matches

• 2023
• 
  Amani Drissi, Ahmed Khemiri, Salma Sassi, Anis Tissaoui, Richard Chbeir, Abderrazak Jemai:
  A Hybrid Machine Learning Approach for Automatic Experts Recommendation Systems. INISTA 2023: 1-6
• 2022
• 
  Bríter Andrés González-Daza, Miguel Alfonso Feijóo-García:
  Fynex: Work in Progress on a Web-based Approach That Implements a Hybrid Recommendation System for Preventing and Treating Diseases based on Eating Disorders. CHIRA 2022: 193-200
• 
  Vihaan Nama, Gerard Deepak, A. Santhanavijayan:
  KCReqRec: A Knowledge Centric Approach for Semantically Inclined Requirement Recommendation with Micro Requirement Mapping Using Hybrid Learning Models. ISDA (1) 2022: 12-22
• 
  Prahar Pandya, Saurabh Tiwari:
  CORMS: a GitHub and Gerrit based hybrid code reviewer recommendation approach for modern code review. ESEC/SIGSOFT FSE 2022: 546-557
• 2021
• 
  Ying Kang, Aiqin Hou, Zimin Zhao, Daguang Gan:
  A Hybrid Approach for Paper Recommendation. IEICE Trans. Inf. Syst. 104-D(8): 1222-1231 (2021)
• 
  Prabhat Kumar Saraswat, Samuel William, Eswar Reddy:
  A Hybrid Approach for Offline A/B Evaluation for Item Ranking Algorithms in Recommendation Systems. AIMLSystems 2021: 21:1-21:6
• 
  N. Sangita Achary, Bidyut Kumar Patra:
  Graph Based Hybrid Approach for Long-Tail Item Recommendation in Collaborative Filtering. COMAD/CODS 2021: 426
• 2020
• 
  N. Roopak, Gerard Deepak, A. Santhana Vijayan:
  HCRDL: A Hybridized Approach for Course Recommendation Using Deep Learning. ISDA 2020: 1105-1113
• 2019
• 
  Ignacio Gatti:
  A Hybrid Approach for Artwork Recommendation. AIKE 2019: 281-284
• 
  Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang:
  HAES: A New Hybrid Approach for Movie Recommendation with Elastic Serendipity. CIKM 2019: 1503-1512
• 
  Kung-Hsiang Huang, Yi-Fu Fu, Yi-Ting Lee, Tzong-Hann Lee, Yao-Chun Chan, Yi-Hui Lee, Shou-De Lin:
  A-HA: a hybrid approach for hotel recommendation. RecSys Challenge 2019: 4:1-4:5
• 
  Wissem Eljaoued, Nesrine Ben Yahia, Narjès Bellamine Ben Saoud, Chihab Hanachi:
  A Hybrid Recommendation Approach for Agent Organizational Structures. WETICE 2019: 9-14
• 2018
• 
  Roman Vainshtein, Asnat Greenstein-Messica, Gilad Katz, Bracha Shapira, Lior Rokach:
  A Hybrid Approach for Automatic Model Recommendation. CIKM 2018: 1623-1626
• 
  Meshal Alfarhood, Jianlin Cheng:
  DeepHCF: A Deep Learning Based Hybrid Collaborative Filtering Approach for Recommendation Systems. ICMLA 2018: 89-96
• 
  Anusuriya Devaraju, Shlomo Berkovsky:
  A Hybrid Recommendation Approach for Open Research Datasets. UMAP 2018: 207-211
• 2017
• 
  Madhulika Agrawal, Teresa Gonçalves, Paulo Quaresma:
  A hybrid approach for cold start recommendations. SKIMA 2017: 1-6
• 2015
• 
  Kavinkumar V., Rachamalla Rahul Reddy, Rohit Balasubramanian, Sridhar M., Sridharan K., D. Venkataraman:
  A hybrid approach for recommendation system with added feedback component. ICACCI 2015: 745-752
• 
  Chun Guan, Kevin Kam Fung Yuen:
  Towards a hybrid approach of Primitive Cognitive Network Process and Agglomerative Hierarchical Clustering for music recommendation. QSHINE 2015: 206-209
• 
  Vito Claudio Ostuni, Tommaso Di Noia, Eugenio Di Sciascio, Sergio Oramas, Xavier Serra:
  A Semantic Hybrid Approach for Sound Recommendation. WWW (Companion Volume) 2015: 85-86
• 2014
• 
  Mohammad Amir Sharif, Vijay V. Raghavan:
  A clustering based scalable hybrid approach for web page recommendation. IEEE BigData 2014: 80-87
• 
  Kun Ma, Tingting Lu, Ajith Abraham:
  Hybrid parallel approach for personalized literature recommendation system. CASoN 2014: 31-36
• 2013
• 
  Rong Hu, Wan-Chun Dou, Jianxun Liu:
  A Hybrid Collaborative Filtering Approach for Multi-Functional Service Recommendation. CGC 2013: 54-59
• 2011
• 
  Qusai Shambour, Jie Lu:
  A Hybrid Multi-criteria Semantic-Enhanced Collaborative Filtering Approach for Personalized Recommendations. Web Intelligence 2011: 71-78
• 2010
• 
  Dianshuang Wu, Jie Lu, Guangquan Zhang:
  A hybrid recommendation approach for hierarchical items. ISKE 2010: 492-497
• 2009
• 
  Manish Godse, Rajendra M. Sonar, Anil S. Jadhav:
  A Hybrid Approach for Knowledge-Based Product Recommendation. ICISTM 2009: 268-279
• 2006
• 
  Jorn Philipp Knüchel, Nenad Stojanovic:
  A learning-based hybrid approach for anonymous recommendation. CEC/EEE 2006: 36
• 2005
• 
  Xuetao Guo, Guangquan Zhang, Eng Chew, Steve Burdon:
  A Hybrid Recommendation Approach for One-and-Only Items. Australian Conference on Artificial Intelligence 2005: 457-466