• 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 66 matches

• 2020
• 
  Mingxin Gan, Hang Zhang:
  DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation. Complex. 2020: 4780191:1-4780191:12 (2020)
• 
  Maryam Mohammadi, Somaye Arabi Naree, Mahsa Lati:
  User-item content awareness in matrix factorization based collaborative recommender systems. Intell. Data Anal. 24(3): 723-739 (2020)
• 
  Haijun Zhang, Yanfang Sun, Mingbo Zhao, Tommy W. S. Chow, Q. M. Jonathan Wu:
  Bridging User Interest to Item Content for Recommender Systems: An Optimization Model. IEEE Trans. Cybern. 50(10): 4268-4280 (2020)
• 
  Olga Cherednichenko, Olha Yanholenko, Maryna Vovk, Natalia Sharonova:
  Towards Structuring of Electronic Marketplaces Contents: Items Normalization Technology. COLINS 2020: 44-55
• 
  Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang:
  End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. WWW 2020: 2870-2877
• 
  (Withdrawn) Image retargeting based on self-learning 3D saliency for content-aware data analysis. Multim. Tools Appl. 79(13-14): 9649 (2020)
• 2019
• 
  Yunpeng Jiang, Liejun Wang, Jiwei Qin:
  An item recommendation model with content semantic. Int. J. Inf. Commun. Technol. 15(4): 370-390 (2019)
• 
  Bingkun Wang, Bing Chen, Li Ma, Gaiyun Zhou:
  User-Personalized Review Rating Prediction Method Based on Review Text Content and User-Item Rating Matrix. Inf. 10(1): 1 (2019)
• 
  Pasquale Lops, Dietmar Jannach, Cataldo Musto, Toine Bogers, Marijn Koolen:
  Trends in content-based recommendation - Preface to the special issue on Recommender systems based on rich item descriptions. User Model. User Adapt. Interact. 29(2): 239-249 (2019)
• 
  Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz:
  CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys 2019: 228-236
• 2018
• 
  Fahad Anwar, Naima Iltaf, Hammad Afzal, Raheel Nawaz:
  HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items. J. Comput. Sci. 29: 9-18 (2018)
• 
  Raoua Abdelkhalek, Imen Boukhris, Zied Elouedi:
  An Evidential Collaborative Filtering Approach Based on Items Contents Clustering. BELIEF 2018: 1-9
• 2017
• 
  Lu Yu, Junming Huang, Ge Zhou, Chuang Liu, Zi-Ke Zhang:
  TIIREC: A tensor approach for tag-driven item recommendation with sparse user generated content. Inf. Sci. 411: 122-135 (2017)
• 
  Marharyta Aleksandrova, Armelle Brun, Anne Boyer, Oleg Chertov:
  Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem. J. Intell. Inf. Syst. 48(2): 365-397 (2017)
• 
  Shanshan Feng, Jian Cao, Jie Wang, Shiyou Qian:
  Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items' Ratings and Content. ACM Trans. Knowl. Discov. Data 11(3): 35:1-35:27 (2017)
• 
  Xinzuo Wang, Neda Rohani, Adwaiy Manerikar, Aggelos K. Katsagellos, Oliver Cossairt, Nabil Alshurafa:
  Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging. ICIAP Workshops 2017: 462-470
• 
  David Massimo, Mehdi Elahi, Mouzhi Ge, Francesco Ricci:
  Item Contents Good, User Tags Better: Empirical Evaluation of a Food Recommender System. UMAP 2017: 373-374
• 
  (Withdrawn) Exploiting Tradeoff Between Transmission Diversity and Content Diversity in Multi-Cell Edge Caching. CoRR abs/1712.06750 (2017)
• 2016
• 
  Bing-kun Wang, Yongfeng Huang, Xing Li:
  Combining Review Text Content and Reviewer-Item Rating Matrix to Predict Review Rating. Comput. Intell. Neurosci. 2016: 5968705:1-5968705:11 (2016)
• 
  Fedelucio Narducci, Pierpaolo Basile, Cataldo Musto, Pasquale Lops, Annalina Caputo, Marco de Gemmis, Leo Iaquinta, Giovanni Semeraro:
  Concept-based item representations for a cross-lingual content-based recommendation process. Inf. Sci. 374: 15-31 (2016)
• 
  Ja-Hwung Su, Ting-Wei Chiu:
  An Item-Based Music Recommender System Using Music Content Similarity. ACIIDS (2) 2016: 179-190
• 
  Zhou Xing, Marzieh Parandehgheibi, Fei Xiao, Nilesh Kulkarni, Chris Pouliot:
  Content-based recommendation for podcast audio-items using natural language processing techniques. BigData 2016: 2378-2383
• 
  Akira Hattori, Hiroshi Suzuki, Haruo Hayami:
  Content Authoring Tool to Assign Signage Items to Regions on a Paper Poster. HCI (4) 2016: 329-338
• 
  Jinkun Wang, Yezheng Liu, Jianshan Sun, Yuan-Chun Jiang, Chunhua Sun:
  Diversified Recommendation Incorporating Item Content Information Based on MOEA/D. HICSS 2016: 688-696
• 
  (Withdrawn) Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. CoRR abs/1610.07708 (2016)
• 2015
• 
  (Withdrawn) Enforcing transparent access to private content in social networks by means of automatic sanitization. Expert Syst. Appl. 42(23): 9366-9378 (2015)
• 2014
• 
  Fernando Henrique Jesus Mourão:
  A hybrid recommendation method that combines forgotten items and non-content attributes. Federal University of Minas Gerais, Brazil, 2014
• 
  Dimitrios Rafailidis, Apostolos Axenopoulos, Jonas Etzold, Stavroula Manolopoulou, Petros Daras:
  Content-based tag propagation and tensor factorization for personalized item recommendation based on social tagging. ACM Trans. Interact. Intell. Syst. 3(4): 26:1-26:27 (2014)
• 
  Victor Codina, Luis Oliva:
  Contextual modeling content-based approaches for new-item recommendation. IIiX 2014: 259-262
• 
  Zhijun Wang, Keyuan Jiang, Ming Du, Jiajin Le:
  Content-based query for class-level tagged items via the EPC network. IOT 2014: 43-48

skipping 36 more matches