@inproceedings{conf/sigir/ZhuNG14, added-at = {2022-04-09T00:00:00.000+0200}, author = {Zhu, Xiaofei and Nejdl, Wolfgang and Georgescu, Mihai}, biburl = {https://www.bibsonomy.org/bibtex/2097e0f1b223c0656687081a68ff98a67/dblp}, booktitle = {SIGIR}, crossref = {conf/sigir/2014}, editor = {Geva, Shlomo and Trotman, Andrew and Bruza, Peter and Clarke, Charles L. A. and Järvelin, Kalervo}, ee = {https://doi.org/10.1145/2600428.2609556}, interhash = {5ffd783fed3a77751d7b3f3a4b94d544}, intrahash = {097e0f1b223c0656687081a68ff98a67}, isbn = {978-1-4503-2257-7}, keywords = {dblp}, pages = {223-232}, publisher = {ACM}, timestamp = {2024-04-10T08:43:34.000+0200}, title = {An adaptive teleportation random walk model for learning social tag relevance.}, url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2014.html#ZhuNG14}, year = 2014 } @inproceedings{DBLP:conf/sigir/ZhuNG14, added-at = {2014-12-09T12:28:54.000+0100}, author = {Zhu, Xiaofei and Nejdl, Wolfgang and Georgescu, Mihai}, bibsource = {dblp computer science bibliography, http://dblp.org}, biburl = {https://www.bibsonomy.org/bibtex/222585d08e502d0e83eead6bf15059657/nejdl}, booktitle = {The 37th International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval, {SIGIR} '14, Gold Coast , QLD, Australia - July 06 - 11, 2014}, crossref = {DBLP:conf/sigir/2014}, description = {dblp: BibTeX record: conf/sigir/ZhuNG14}, doi = {10.1145/2600428.2609556}, editor = {Geva, Shlomo and Trotman, Andrew and Bruza, Peter and Clarke, Charles L. A. and J{\"{a}}rvelin, Kalervo}, interhash = {5ffd783fed3a77751d7b3f3a4b94d544}, intrahash = {22585d08e502d0e83eead6bf15059657}, isbn = {978-1-4503-2257-7}, keywords = {2014 myown}, pages = {223--232}, publisher = {{ACM}}, timestamp = {2014-12-09T12:28:54.000+0100}, title = {An adaptive teleportation random walk model for learning social tag relevance}, url = {http://doi.acm.org/10.1145/2600428.2609556}, year = 2014 } @inproceedings{zhu2014adaptive, abstract = {Social tags are known to be a valuable source of information for image retrieval and organization. However, contrary to the conventional document retrieval, rich tag frequency information in social sharing systems, such as Flickr, is not available, thus we cannot directly use the tag frequency (analogous to the term frequency in a document) to represent the relevance of tags. Many heuristic approaches have been proposed to address this problem, among which the well-known neighbor voting based approaches are the most effective methods. The basic assumption of these methods is that a tag is considered as relevant to the visual content of a target image if this tag is also used to annotate the visual neighbor images of the target image by lots of different users. The main limitation of these approaches is that they treat the voting power of each neighbor image either equally or simply based on its visual similarity. In this paper, we cast the social tag relevance learning problem as an adaptive teleportation random walk process on the voting graph. In particular, we model the relationships among images by constructing a voting graph, and then propose an adaptive teleportation random walk, in which a confidence factor is introduced to control the teleportation probability, on the voting graph. Through this process, direct and indirect relationships among images can be explored to cooperatively estimate the tag relevance. To quantify the performance of our approach, we compare it with state-of-the-art methods on two publicly available datasets (NUS-WIDE and MIR Flickr). The results indicate that our method achieves substantial performance gains on these datasets.}, added-at = {2014-08-07T12:17:34.000+0200}, author = {Zhu, Xiaofei and Nejdl, Wolfgang and Georgescu, Mihai}, biburl = {https://www.bibsonomy.org/bibtex/284e5a8179f2d0df08f13996ff8af9da0/l3s}, booktitle = {The 37th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR’14)}, interhash = {5ffd783fed3a77751d7b3f3a4b94d544}, intrahash = {84e5a8179f2d0df08f13996ff8af9da0}, keywords = {2014 CUbRIK alexandria neighbor_voting random_walk tag_relevance}, month = {July}, timestamp = {2014-08-07T12:19:45.000+0200}, title = {An Adaptive Teleportation Random Walk Model for Learning Social Tag Relevance}, year = 2014 } @inproceedings{zhu2014adaptive, added-at = {2014-05-02T10:30:51.000+0200}, author = {Zhu, Xiaofei and Nejdl, Wolfgang and Georgescu, Mihai}, biburl = {https://www.bibsonomy.org/bibtex/284e5a8179f2d0df08f13996ff8af9da0/zhu}, booktitle = {The 37th International ACM SIGIR conference on research and development in Information Retrieval (SIGIR’14)}, interhash = {5ffd783fed3a77751d7b3f3a4b94d544}, intrahash = {84e5a8179f2d0df08f13996ff8af9da0}, keywords = {2014 CUbRIK myown neighbor_voting random_walk tag_relevance}, month = {July}, timestamp = {2014-05-02T10:58:16.000+0200}, title = {An Adaptive Teleportation Random Walk Model for Learning Social Tag Relevance}, year = 2014 }