| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Lorince, J., Joseph, K. & Todd, P. | Analysis of Music Tagging and Listening Patterns: Do Tags Really Function as Retrieval Aids? | 2015 | Vol. 9021Social Computing, Behavioral-Cultural Modeling, and Prediction, pp. 141-152 |
incollection | DOI URL |
| Abstract: In collaborative tagging systems, it is generally assumed that users assign tags to facilitate retrieval of content at a later time. There is, however, little behavioral evidence that tags actually serve this purpose. Using a large-scale dataset from the social music website Last.fm, we explore how patterns of music tagging and subsequent listening interact to determine if there exist measurable signals of tags functioning as retrieval aids. Specifically, we describe our methods for testing if the assignment of a tag tends to lead to an increase in listening behavior. Results suggest that tagging, on average, leads to only very small increases in listening rates, and overall the data do | |||||
BibTeX:
@incollection{lorince2015analysis,
author = {Lorince, Jared and Joseph, Kenneth and Todd, PeterM.},
title = {Analysis of Music Tagging and Listening Patterns: Do Tags Really Function as Retrieval Aids?},
booktitle = {Social Computing, Behavioral-Cultural Modeling, and Prediction},
publisher = {Springer International Publishing},
year = {2015},
volume = {9021},
pages = {141-152},
url = {http://dx.doi.org/10.1007/978-3-319-16268-3_15},
doi = {http://dx.doi.org/10.1007/978-3-319-16268-3_15}
}
|
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| Dong, X., Chen, X., Guan, Y., Yu, Z. & Li, S. | An Overview of Learning to Rank for Information Retrieval. [BibTeX] |
2009 | CSIE (3), pp. 600-606 | inproceedings | URL |
BibTeX:
@inproceedings{dong2009overview,
author = {Dong, Xishuang and Chen, Xiaodong and Guan, Yi and Yu, Zhiming and Li, Sheng},
title = {An Overview of Learning to Rank for Information Retrieval.},
booktitle = {CSIE (3)},
publisher = {IEEE Computer Society},
year = {2009},
pages = {600-606},
url = {http://dblp.uni-trier.de/db/conf/csie/csie2009-3.html#DongCGYL09}
}
|
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| Krause, B., Jäschke, R., Hotho, A. & Stumme, G. | Logsonomy - Social Information Retrieval with Logdata | 2008 | HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, pp. 157-166 | inproceedings | DOI URL |
| Abstract: Social bookmarking systems constitute an established rt of the Web 2.0. In such systems ers describe bookmarks by keywords lled tags. The structure behind these social stems, called folksonomies, can be viewed a tripartite hypergraph of user, tag and resource des. This underlying network shows ecific structural properties that explain its owth and the possibility of serendipitous ploration. day’s search engines represent the gateway retrieve information from the World Wide b. Short queries typically consisting of o to three words describe a user’s information ed. In response to the displayed sults of the search engine, users click on e links of the result page as they expect e answer to be of relevance. is clickdata can be represented as a folksonomy which queries are descriptions of icked URLs. The resulting network structure, ich we will term logsonomy is very milar to the one of folksonomies. In order find out about its properties, we analyze e topological characteristics of the tripartite pergraph of queries, users and bookmarks a large snapshot of del.icio.us and query logs of two large search engines. l of the three datasets show small world operties. The tagging behavior of users, ich is explained by preferential attachment the tags in social bookmark systems, is flected in the distribution of single query rds in search engines. We can conclude at the clicking behaviour of search engine ers based on the displayed search results d the tagging behaviour of social bookmarking ers is driven by similar dynamics. |
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BibTeX:
@inproceedings{krause2008logsonomy,
author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd},
title = {Logsonomy - Social Information Retrieval with Logdata},
booktitle = {HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia},
publisher = {ACM},
year = {2008},
pages = {157--166},
url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia},
doi = {http://doi.acm.org/10.1145/1379092.1379123}
}
|
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| Manning, C.D., Raghavan, P. & Schütze, H. | Introduction to Information Retrieval | 2008 | book | URL | |
| Abstract: "Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." -- Publisher's description. | |||||
BibTeX:
@book{manning2008introduction,
author = {Manning, Christopher D. and Raghavan, Prabhakar and Schütze, Hinrich},
title = {Introduction to Information Retrieval},
publisher = {Cambridge University Press},
year = {2008},
url = {http://www.amazon.com/Introduction-Information-Retrieval-Christopher-Manning/dp/0521865719/ref=sr_1_1?ie=UTF8&qid=1337379279&sr=8-1}
}
|
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| Peters, I. & Stock, W.G. | Folksonomies in Wissensrepräsentation und Information Retrieval | 2008 | Information -- Wissenschaft und Praxis Vol. 59 (2), pp. 77-90 |
article | URL |
| Abstract: Folksonomies in Wissensrepräsentation und Information Retrieval. Die populären Web 2.0-Dienste werden von Prosumern -- Produzenten und gleichsam Konsumenten -- nicht nur dazu genutzt, Inhalte zu produzieren, sondern auch, um sie inhaltlich zu erschließen. Folksonomies erlauben es dem Nutzer, Dokumente mit eigenen Schlagworten, sog. Tags, zu beschreiben, ohne dabei auf gewisse Regeln oder Vorgaben achten zu müssen. Neben einigen Vorteilen zeigen Folksonomies aber auch zahlreiche Schwächen (u. a. einen Mangel an Präzision). Um diesen Nachteilen größtenteils entgegenzuwirken, schlagen wir eine Interpretation der Tags als natürlichsprachige Wörter vor. Dadurch ist es uns möglich, Methoden des Natural Language Processing (NLP) auf die Tags anzuwenden und so linguistische Probleme der Tags zu beseitigen. Darüber hinaus diskutieren wir Ansätze und weitere Vorschläge (Tagverteilungen, Kollaboration und akteurspezifische Aspekte) hinsichtlich eines Relevance Rankings von getaggten Dokumenten. Neben Vorschlägen auf ähnliche Dokumente (glqqmore like this!grqq) erlauben Folksonomies auch Hinweise auf verwandte Nutzer und damit auf Communities (glqqmore like me!grqq). Folksonomies in Knowledge Representation and Information Retrieval In Web 2.0 services grqqprosumers” -- producers and consumers -- collaborate not only for the purpose of creating content, but to index these pieces of information as well. Folksonomies permit actors to describe documents with subject headings, grqqtagsgrqq, without regarding any rules. Apart from a lot of benefits folksonomies have many shortcomings (e.g., lack of precision). In order to solve some of the problems we propose interpreting tags as natural language terms. Accordingly, we can introduce methods of NLP to solve the tags’ linguistic problems. Additionally, we present criteria for tagged documents to create a ranking by relevance (tag distribution, collaboration and actor-based aspects). Besides recommending similar documents (glqqmore like this!grqq) folksonomies can be used for the recommendation of similar users and communities (glqqmore like me!grqq). | |||||
BibTeX:
@article{PeSt08,
author = {Peters, Isabella and Stock, Wolfgang G.},
title = {Folksonomies in Wissensrepräsentation und Information Retrieval},
journal = {Information -- Wissenschaft und Praxis},
year = {2008},
volume = {59 },
number = {2},
pages = {77--90},
url = {http://www.phil-fak.uni-duesseldorf.de/infowiss/admin/public_dateien/files/1/1204547968stock212_h.htm}
}
|
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