Results 71 to 80 of about 1,239,647 (288)

Enhanced Content-Based Recommendation Using Topic Modelling and Knowledge Graph

open access: yesElektronika ir Elektrotechnika
Content-based (CB) recommendation algorithms recommend items to a user based on items the user liked in the past. CB methodologies have gained attention due to their higher accuracy and transparency and the emergence of new technologies, such as ...
Nur Izyan Yasmin Saat   +2 more
doaj   +1 more source

Mitigating Reputational Risks - A Proposal With A Knowledge-Based Stakeholder Information Leitstand [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2009
The Internet plays a crucial role in the communication strategy of organizations. However, information is often distributed at the "wrong" time and does not always satisfy the particular requirements of key customers, suppliers, governments, shareholders
Martin Stöβlein
doaj  

Graph Filtering for Recommendation on Heterogeneous Information Networks

open access: yesIEEE Access, 2020
Various kinds of auxiliary data in web services have been proved to be valuable to handler data sparsity and cold-start problems of recommendation. However, it is challenging to develop effective approaches to model and utilize these various and complex ...
Chuanyan Zhang, Xiaoguang Hong
doaj   +1 more source

On the Impact of Entity Linking in Microblog Real-Time Filtering

open access: yes, 2016
Microblogging is a model of content sharing in which the temporal locality of posts with respect to important events, either of foreseeable or unforeseeable nature, makes applica- tions of real-time filtering of great practical interest.
Berardi G.   +5 more
core   +1 more source

Informativeness of Parallel Kalman Filters [PDF]

open access: yesMathematical and Computational Applications, 2004
This article considers the informativeness of parallel Kalman filters. Expressions are derived for determination of the amount of information obtained by additional measurements with a reserved measurement channel during processing. The theorems asserting that there is an increase in the informativeness of Kalman filters when there is a failure-free ...
openaire   +2 more sources

The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity

open access: yesMolecular Oncology, EarlyView.
Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli   +7 more
wiley   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Sensitive information filtering based on kernel method

open access: yesTongxin xuebao, 2008
Based on the discussion about the characteristics and the hardness of sensitive information filtering task,the idea of employing the combination of sensitive words to refine the filtering effect was proposed.
LI Wen-bo1   +3 more
doaj   +2 more sources

Multimedia Filtering Analysis of Massive Information Combined with Data Mining Algorithms

open access: yesAdvances in Multimedia, 2021
With the advent of the big data era, information presentation has exploded. For example, rich methods such as audio and video have integrated more information, but with it, a lot of bad information has been brought.
Bo Wang
doaj   +1 more source

Ultra accurate collaborative information filtering via directed user similarity

open access: yes, 2014
A key challenge of the collaborative filtering (CF) information filtering is how to obtain the reliable and accurate results with the help of peers' recommendation. Since the similarities from small-degree users to large-degree users would be larger than
Guo, Qiang, Liu, Jian-Guo, Song, Wen-Jun
core   +1 more source

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