Results 1 to 10 of about 1,239,548 (189)
Information filtering on coupled social networks. [PDF]
PLoS ONE, 2014 In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users.
Da-Cheng Nie +4 more
doaj +6 more sources
Gravity effects on information filtering and network evolving. [PDF]
PLoS ONE, 2014 In this paper, based on the gravity principle of classical physics, we propose a tunable gravity-based model, which considers tag usage pattern to weigh both the mass and distance of network nodes.
Jin-Hu Liu +5 more
doaj +6 more sources
Information filtering via a scaling-based function. [PDF]
PLoS ONE, 2013 Finding a universal description of the algorithm optimization is one of the key challenges in personalized recommendation. In this article, for the first time, we introduce a scaling-based algorithm (SCL) independent of recommendation list length based ...
Tian Qiu, Zi-Ke Zhang, Guang Chen
doaj +2 more sources
Information filtering based on corrected redundancy-eliminating mass diffusion. [PDF]
PLoS ONE, 2017 Methods used in information filtering and recommendation often rely on quantifying the similarity between objects or users. The used similarity metrics often suffer from similarity redundancies arising from correlations between objects' attributes. Based
Xuzhen Zhu +5 more
doaj +2 more sources
Named Entity Recognition Using Conditional Random Fields
Applied Sciences, 2022 Named entity recognition (NER) is an important task in natural language processing, as it is widely featured as a key information extraction sub-task with numerous application areas.
Wahab Khan +5 more
doaj +1 more source
Connection Science, 2022 Massive regression and forecasting tasks are generally cost-sensitive regression learning problems with asymmetric costs between over-prediction and under-prediction.
Fangfang Xu +3 more
doaj +1 more source
Recommended System: Attentive Neural Collaborative Filtering
IEEE Access, 2020 In recent years, neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of neural networks on recommender systems has received relatively less scrutiny.
Yanli Guo, Zhongmin Yan
doaj +1 more source
Context filters for document-based information filtering [PDF]
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999 We propose a keyphrase-sense disambiguation methodology called "context filters" for use in keyphrase based information filtering systems. A context filter finds whether an input keyphrase has occurred in the required context. Context filters consider various factors of ambiguity.
Murthy, KRK, Keerthi, SS
openaire +2 more sources
Adaptive Gaussian mixture model for identifying outliers in historical route travel times
IET Intelligent Transport Systems, 2023 The historical route travel time data contain a few outliers composed of subpopulations signifying unusual traffic conditions. These outliers compose the right tail of the distribution against the central part occupied by most normal travel times ...
Shaoxin Yuan, Ke Zhao, Zhigang Xu
doaj +1 more source
Preference-Tree-Based Real-Time Recommendation System
Entropy, 2022 In the current era of online information overload, recommendation systems are very useful for helping users locate content that may be of interest to them.
Seongju Kang, Kwangsue Chung
doaj +1 more source