A method for collaborative recommendation using knowledge integration tools and hierarchical structure of user profiles

Knowledge-Based Systems ◽

10.1016/j.knosys.2013.02.016 ◽

2013 ◽

Vol 47 ◽

pp. 1-13 ◽

Cited By ~ 38

Author(s):

Marcin Maleszka ◽

Bernadetta Mianowska ◽

Ngoc Thanh Nguyen

Keyword(s):

Hierarchical Structure ◽

Knowledge Integration ◽

User Profiles ◽

Collaborative Recommendation

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A method for knowledge integration of ontology-based user profiles in personalised document retrieval systems

Enterprise Information Systems ◽

10.1080/17517575.2018.1560505 ◽

2018 ◽

Vol 13 (7-8) ◽

pp. 1143-1163 ◽

Cited By ~ 1

Author(s):

Bernadetta Maleszka

Keyword(s):

Knowledge Integration ◽

Document Retrieval ◽

User Profiles ◽

Retrieval Systems

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A Heuristic Method for Collaborative Recommendation Using Hierarchical User Profiles

Computational Collective Intelligence. Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-34630-9_2 ◽

2012 ◽

pp. 11-20 ◽

Cited By ~ 2

Author(s):

Marcin Maleszka ◽

Bernadetta Mianowska ◽

Ngoc-Thanh Nguyen

Keyword(s):

Heuristic Method ◽

User Profiles ◽

Collaborative Recommendation

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Improving the effectiveness of collaborative recommendation with ontology-based user profiles

Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems - HetRec '10 ◽

10.1145/1869446.1869452 ◽

2010 ◽

Cited By ~ 37

Author(s):

Ahu Sieg ◽

Bamshad Mobasher ◽

Robin Burke

Keyword(s):

User Profiles ◽

Collaborative Recommendation

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Knowledge Integration in OpenWorlds: Utilizing the Mathematics of Hierarchical Structure

International Conference on Semantic Computing (ICSC 2007) ◽

10.1109/icsc.2007.82 ◽

2007 ◽

Author(s):

Cliff A. Joslyn ◽

Karin M. Verspoor ◽

Damian DG Gessler

Keyword(s):

Hierarchical Structure ◽

Knowledge Integration

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Knowledge Integration in OpenWorlds: Utilizing the Mathematics of Hierarchical Structure

International Conference on Semantic Computing (ICSC 2007) ◽

10.1109/icosc.2007.4338338 ◽

2007 ◽

Author(s):

Cliff A. Joslyn ◽

Karin M. Verspoor ◽

Damian DG Gessler

Keyword(s):

Hierarchical Structure ◽

Knowledge Integration

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Relationships between hierarchical structure and properties in macromolecular systems

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100126950 ◽

1987 ◽

Vol 45 ◽

pp. 440-443

Author(s):

E. Baer

Keyword(s):

Uniaxial Tension ◽

Hierarchical Structure ◽

Inorganic Material ◽

Hierarchical Structures ◽

Bone Collagen ◽

Structure And Properties ◽

Connective Tissues ◽

Scale Level ◽

Fibrous Protein ◽

Macromolecular Systems

The most advanced macromolecular materials are found in plants and animals, and certainly the connective tissues in mammals are amongst the most advanced macromolecular composites known to mankind. The efficient use of collagen, a fibrous protein, in the design of both soft and hard connective tissues is worthy of comment. Very crudely, in bone collagen serves as a highly efficient binder for the inorganic hydroxyappatite which stiffens the structure. The interactions between the organic fiber of collagen and the inorganic material seem to occur at the nano (scale) level of organization. Epitatic crystallization of the inorganic phase on the fibers has been reported to give a highly anisotropic, stress responsive, structure. Soft connective tissues also have sophisticated oriented hierarchical structures. The collagen fibers are “glued” together by a highly hydrated gel-like proteoglycan matrix. One of the simplest structures of this type is tendon which functions primarily in uniaxial tension as a reinforced elastomeric cable between muscle and bone.

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