| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Balby Marinho, L., Nanopoulos, A., Schmidt-Thieme, L., Jäschke, R., Hotho, A., Stumme, G. & Symeonidis, P. | Social Tagging Recommender Systems | 2011 | Recommender Systems Handbook | incollection | DOIURL |
| Abstract: The new generation of Web applications known as (STS) is successfully established and poised for continued growth. STS are open and inherently social; features that have been proven to encourage participation. But while STS bring new opportunities, they revive old problems, such as information overload. Recommender Systems are well known applications for increasing the level of relevant content over the noise that continuously grows as more and more content becomes available online. In STS however, we face new challenges. Users are interested in finding not only content, but also tags and even other users. Moreover, while traditional recommender systems usually operate over 2-way data arrays, STS data is represented as a third-order tensor or a hypergraph with hyperedges denoting (user, resource, tag) triples. In this chapter, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve STS.We describe (a) novel facets of recommenders for STS, such as user, resource, and tag recommenders, (b) new approaches and algorithms for dealing with the ternary nature of STS data, and (c) recommender systems deployed in real world STS. Moreover, a concise comparison between existing works is presented, through which we identify and point out new research directions. | |||||
BibTeX:
@incollection{marinho2011social,
author = {Balby Marinho, Leandro and Nanopoulos, Alexandros and Schmidt-Thieme, Lars and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd and Symeonidis, Panagiotis},
title = {Social Tagging Recommender Systems},
booktitle = {Recommender Systems Handbook},
publisher = {Springer},
year = {2011},
pages = {615--644},
url = {http://dx.doi.org/10.1007/978-0-387-85820-3_19},
doi = {http://dx.doi.org/10.1007/978-0-387-85820-3_19}
}
|
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| Balby Marinho, L., Nanopoulos, A., Schmidt-Thieme, L., Jäschke, R., Hotho, A., Stumme, G. & Symeonidis, P. | Social Tagging Recommender Systems | 2011 | Recommender Systems Handbook | incollection | DOIURL |
| Abstract: The new generation of Web applications known as (STS) is successfully established and poised for continued growth. STS are open and inherently social; features that have been proven to encourage participation. But while STS bring new opportunities, they revive old problems, such as information overload. Recommender Systems are well known applications for increasing the level of relevant content over the noise that continuously grows as more and more content becomes available online. In STS however, we face new challenges. Users are interested in finding not only content, but also tags and even other users. Moreover, while traditional recommender systems usually operate over 2-way data arrays, STS data is represented as a third-order tensor or a hypergraph with hyperedges denoting (user, resource, tag) triples. In this chapter, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve STS.We describe (a) novel facets of recommenders for STS, such as user, resource, and tag recommenders, (b) new approaches and algorithms for dealing with the ternary nature of STS data, and (c) recommender systems deployed in real world STS. Moreover, a concise comparison between existing works is presented, through which we identify and point out new research directions. | |||||
BibTeX:
@incollection{marinho2011social,
author = {Balby Marinho, Leandro and Nanopoulos, Alexandros and Schmidt-Thieme, Lars and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd and Symeonidis, Panagiotis},
title = {Social Tagging Recommender Systems},
booktitle = {Recommender Systems Handbook},
publisher = {Springer},
year = {2011},
pages = {615--644},
url = {http://dx.doi.org/10.1007/978-0-387-85820-3_19},
doi = {http://dx.doi.org/10.1007/978-0-387-85820-3_19}
}
|
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| Tso-Sutter, K. H. L., Marinho, L. B. & Schmidt-Thieme, L. | Tag-aware recommender systems by fusion of collaborative filtering algorithms | 2008 | SAC '08: Proceedings of the 2008 ACM symposium on Applied computing | inproceedings | DOIURL |
| Abstract: Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods are the dominant techniques applied in RS algorithms. To improve recommendation quality, metadata such as content information of items has typically been used as additional knowledge. With the increasing popularity of the collaborative tagging systems, tags could be interesting and useful information to enhance RS algorithms. Unlike attributes which are "global" descriptions of items, tags are "local" descriptions of items given by the users. To the best of our knowledge, there hasn't been any prior study on tag-aware RS. In this paper, we propose a generic method that allows tags to be incorporated to standard CF algorithms, by reducing the three-dimensional correlations to three two-dimensional correlations and then applying a fusion method to re-associate these correlations. Additionally, we investigate the effect of incorporating tags information to different CF algorithms. Empirical evaluations on three CF algorithms with real-life data set demonstrate that incorporating tags to our proposed approach provides promising and significant results. | |||||
BibTeX:
@inproceedings{tso2008tag,
author = {Tso-Sutter, Karen H. L. and Marinho, Leandro Balby and Schmidt-Thieme, Lars},
title = {Tag-aware recommender systems by fusion of collaborative filtering algorithms},
booktitle = {SAC '08: Proceedings of the 2008 ACM symposium on Applied computing},
publisher = {ACM},
year = {2008},
pages = {1995--1999},
url = {http://portal.acm.org/citation.cfm?id=1364171},
doi = {http://doi.acm.org/10.1145/1363686.1364171}
}
|
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| Jäschke, R., Marinho, L. B., Hotho, A., Schmidt-Thieme, L. & Stumme, G. | Tag Recommendations in Folksonomies [BibTeX] |
2007 | Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings | inproceedings | URL |
BibTeX:
@inproceedings{jaschke07recommender,
author = {Jäschke, Robert and Marinho, Leandro Balby and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
title = {Tag Recommendations in Folksonomies},
booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings},
publisher = {Springer},
year = {2007},
volume = {4702},
pages = {506-514},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/Tag_Recommender_in_Folksonomies_final.pdf}
}
|
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