Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition

Product reviews and ratings on e-commerce websites provide customers with detailed insights about various aspects of the product such as quality, usefulness, etc. Since they influence customers' buying decisions, product reviews have become a fertile ground for abuse by sellers (colluding with reviewers) to promote their own products or to tarnish the reputation of competitor's products. In this paper, our focus is on detecting such abusive entities (both sellers and reviewers) by applying tensor decomposition on the product reviews data. While tensor decomposition is mostly unsupervised, we formulate our problem as a semi-supervised binary multi-target tensor decomposition, to take advantage of currently known abusive entities. We empirically show that our multi-target semi-supervised model achieves higher precision and recall in detecting abusive entities as compared to unsupervised techniques. Finally, we show that our proposed stochastic partial natural gradient inference for our model empirically achieves faster convergence than stochastic gradient and Online-EM with sufficient statistics.Comment: Accepted to the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2019. Contains supplementary material. arXiv admin note: text overlap with arXiv:1804.0383

Unsupervised user behavior representation for fraud review detection with cold-start problem

© Springer Nature Switzerland AG 2019. Detecting fraud review is becoming extremely important in order to provide reliable information in cyberspace, in which, however, handling cold-start problem is a critical and urgent challenge since the case of cold-start fraud review rarely provides sufficient information for further assessing its authenticity. Existing work on detecting cold-start cases relies on the limited contents of the review posted by the user and a traditional classifier to make the decision. However, simply modeling review is not reliable since reviews can be easily manipulated. Also, it is hard to obtain high-quality labeled data for training the classifier. In this paper, we tackle cold-start problems by (1) using a user’s behavior representation rather than review contents to measure authenticity, which further (2) consider user social relations with other existing users when posting reviews. The method is completely (3) unsupervised. Comprehensive experiments on Yelp data sets demonstrate our method significantly outperforms the state-of-the-art methods

Plastron osteotomy in the management of fishing hook ingestion in a Malayan box turtle (Cuora amboinensis)

An adult male Malayan box turtle was diagnosed with foreign body obstruction of fishing hook. Upon presentation, the animal had pale mucous membrane and fishing line protruding out from the oral cavity. Diagnosis of foreign body ingestion was based on plain radiograph where the fishing hook was evidenced on the lateral and ventrodorsal radiographic view. Plastron osteotomy surgical removal was performed after endoscopy guided forcep removal failed. Procedures were carried out under the injectable anesthesia using a combination of ketamine and xylazine hydrochloride. Antibiotic, anti-inflammatory and parenteral fluid therapy was given pre and post-surgically as medical treatment and stabilisation

Hysteresis loops of ferroelectric bilayers and superlattices

A ferroelectric superlattice with an antiferroelectric interfacial coupling is considered; the same model describes a bilayer with antiferroelectric coupling. By mapping minimum points in the Landau free energy expression and plotting them against the applied electric field, a triple hysteresis loop pattern is obtained. The loop patterns vary between typically ferroelectric and typically antiferroelectric depending on the layer thicknesses and the magnitude of the interfacial-coupling constant. This work suggests the possibility of designing multilayer elements for computer memories with four or more different storage states. (C) 2000 American Institute of Physics. [S0003-6951(00)03843-2]

Schizophrenia in Malaysian families: A study on factors associated with quality of life of primary family caregivers

<p>Abstract</p> <p>Background</p> <p>Schizophrenia is a chronic illness which brings detrimental effects in the caregivers' health. This study was aimed at highlighting the socio-demographic, clinical and psychosocial factors associated with the subjective Quality of Life (QOL) of Malaysian of primary family caregivers of subjects with schizophrenia attending an urban tertiary care outpatient clinic in Malaysia.</p> <p>Methods</p> <p>A cross-sectional study was performed to study patient, caregiver and illness factors associated with the QOL among 117 individuals involved with caregiving for schizophrenia patients. The study used WHOQOL-BREF to assess caregivers' QOL and Brief Psychiatric Rating Scale (BPRS) to assess the severity of patients' symptoms. Social Readjustment Rating Scale (SRRS) assessed the stress level due to life events.</p> <p>Results</p> <p>The mean scores of WHOQOL-BREF in physical, psychological, social and environmental domains were 66.62 (14.36), 61.32 (15.52), 62.77 (17.33), 64.02 (14.86) consecutively. From multiple regression analysis, factors found to be significantly associated with higher QOL were higher educational level among caregivers in social and environmental domains; caregivers not having medical problem/s in physical and psychological domains; later onset and longer illness duration of illness in social domains; patients not attending day care program in environmental domain; lower BPRS score in physical and environmental domains. SRRS score of caregivers was also found to have a significant negative correlation with QOL in environmental and psychological domains. Other factors were not significantly associated with QOL.</p> <p>Conclusion</p> <p>Caregivers with more social advantages such as higher educational level and physically healthier and dealing with less severe illness had significantly higher QOL in various aspects. Supporting the caregivers in some of these modifiable factors in clinical practice is important to achieve their higher level QOL.</p