TL;DR: This paper considers the one-class problem under the CF setting, and proposes two frameworks to tackle OCCF, one based on weighted low rank approximation; the other based on negative example sampling.
Abstract: Many applications of collaborative filtering (CF), such as news item recommendation and bookmark recommendation, are most naturally thought of as one-class collaborative filtering (OCCF) problems. In these problems, the training data usually consist simply of binary data reflecting a user's action or inaction, such as page visitation in the case of news item recommendation or webpage bookmarking in the bookmarking scenario. Usually this kind of data are extremely sparse (a small fraction are positive examples), therefore ambiguity arises in the interpretation of the non-positive examples. Negative examples and unlabeled positive examples are mixed together and we are typically unable to distinguish them. For example, we cannot really attribute a user not bookmarking a page to a lack of interest or lack of awareness of the page. Previous research addressing this one-class problem only considered it as a classification task. In this paper, we consider the one-class problem under the CF setting. We propose two frameworks to tackle OCCF. One is based on weighted low rank approximation; the other is based on negative example sampling. The experimental results show that our approaches significantly outperform the baselines.
TL;DR: The two-way Web has arrived, accompanied by a raft of affordances that expand how the authors communicate, communicate, learn and create knowledge.
Abstract: School of EducationCharles Sturt UniversityThe two-way Web has arrived, accompanied by a raft of affordances that expand how weteach, communicate, learn and create knowledge. New trends are emerging in the wayinformation is distributed and consumed. Emerging “Web 2.0” services such as blogs,wikis and social bookmarking applications, as well as social networking sites like
TL;DR: The Upper Tag Ontology (UTO) emphasizes the structure of tagging activities to facilitate modeling of tagging data and the integration of data from different bookmarking sites as well as the alignment of tagging ontologies.
TL;DR: The feedback from the user trial, comprising survey results, log file analysis and informal communica-tions, is quite positive and suggests several promising en-hancements to the service.
Abstract: We describe a social bookmarking service de-signed for a large enterprise. We discuss design principles addressing online identity, privacy, information discovery (including search and pivot browsing), and service extensi-bility based on a web-friendly architectural style. In addi-tion we describe the key design features of our implementa-tion. We provide the results of an eight week field trial of this enterprise social bookmarking service, including a de-scription of user activities, based on log file analysis. We share the results of a user survey focused on the benefits of the service. The feedback from the user trial, comprising survey results, log file analysis and informal communica-tions, is quite positive and suggests several promising en-hancements to the service. Finally, we discuss potential extension and integration of social bookmarking services with other corporate collaborative applications.
TL;DR: It is found that throughout mitosis, Brd4 remained bound to the transcription start sites of many M/G1 genes that are programmed to be expressed at the end of, or immediately afterMitosis, and upon exiting Mitosis, this mark acts as a signal for initiating their prompt transcription in daughter cells.
Abstract: On entry into mitosis, many transcription factors dissociate from chromatin, resulting in global transcriptional shutdown. During mitosis, some genes are marked to ensure the inheritance of their e...