Abstract: One embodiment provides a system that facilitates detects and analyzes surprises in user reviews. During operation, the system stores, in a storage device, a plurality of user reviews. A user review includes a recommend score indicating a likelihood of recommending, and one or more feature values indicating user opinions about features in the user review. The system determines a first user review from the plurality of user reviews to be a first surprise in response to detecting a discrepancy between a recommend score and feature values of the first user review. The system then performs a text analysis on the first surprise to discover impactful features in the surprise.

Abstract: One embodiment of the present invention provides a system for multi-domain clustering. During operation, the system collects domain data for at least two domains associated with users, wherein a domain is a source of data describing observable activities of a user. Next, the system estimates a probability distribution for a domain associated with the user. The system also estimates a probability distribution for a second domain associated with the user. Then, the system analyzes the domain data with a multi-domain probability model that includes variables for two or more domains to determine a probability distribution of each domain associated with the probability model and to assign users to clusters associated with user roles.

Abstract: One embodiment of the present invention provides a system for detecting anomalies. During operation, the system extracts from a data set of entities features which provide meaningful information about the entities. The system identifies a peer group for the entities in the data set based on auxiliary information which comprises information that is distinct from the extracted features. In order to determine the anomalies, the system compares the extracted features of an entity in the peer group against the extracted features of other entities in the corresponding peer group, where significant differences in results of the comparison are indicative of anomalies.

Abstract: One embodiment of the present invention provides a system for identifying anomalies. During operation, the system obtains work practice data associated with a plurality of users. The work practice data includes a plurality of user events. The system further categorizes the work practice data into a plurality of domains based on types of the user events, models user behaviors within a respective domain based on work practice data associated with the respective domain, and identifies at least one anomalous user based on modeled user behaviors from the multiple domains.

Abstract: One embodiment of the present invention provides a system for multi-domain clustering. During operation, the system collects domain data for at least two domains associated with users, wherein a domain is a source of data describing observable activities of a user. Next, the system estimates a probability distribution for a domain associated with the user. The system also estimates a probability distribution for a second domain associated with the user. Then, the system analyzes the domain data with a multi-domain probability model that includes variables for two or more domains to determine a probability distribution of each domain associated with the probability model and to assign users to clusters associated with user roles.

Abstract: One embodiment of the present invention provides a user interface for presenting anomaly-detection outcomes associated with an organization to a user. The user interface includes a receiving mechanism configured to receive the anomaly-detection outcomes, a display that displays the anomaly-detection outcomes at a first resolution, and a command-receiving mechanism configured to receive commands from the user. In response to receiving a respective user command, the display is configured to display the anomaly-detection outcomes at a second resolution.

Abstract: A fraud-detection system facilitates detecting fraudulent entities by computing weighted fraud-detecting scores for the individual entities. During operation, the system can obtain fraud warnings for a plurality of entities, and for a plurality of fraud types. The system computes, for a respective entity, a fraud-detection score which indicates a normalized cost of fraudulent transactions from the respective entity. The system then determines, from the plurality of entities, one or more anomalous entities whose fraud-detection score indicates anomalous behavior. The system can determine an entity that is likely to be fraudulent by comparing the entity's fraud-detection score to fraud-detection scores for other entities.

Abstract: One embodiment of the present invention provides a system for recognizing and classifying clothes. During operation, the system captures at least one image of a clothing item. The system further determines a region on the captured image which corresponds to a torso and/or limbs. The system also determines at least one color composition, texture composition, collar configuration, and sleeve configuration of the clothing item. Additionally, the system classifies the clothing item into at least one category based on the determined color composition, texture composition, collar configuration, and sleeve configuration. The system then produces a result which indicates the classification.

Abstract: One embodiment of the present invention provides a system that enables a user to visually compare the effects of one or more clothing sets in front of a mirror. During operation, the system detects and stores images of a user wearing a piece of clothing in front of mirror. Similar stored poses from either the user or from members of the user's social network can be retrieved later to compare the effects of the current piece of clothing to the retrieved clothing. The poses are then displayed in close proximity to the mirror so that the user can visually compare the effects. Displaying multiple such poses in sequence and in fast response to changes in the user's orientation creates the effect that the system is tracking the user's movements and presenting poses that are substantially synchronized to the user's movements.

Abstract: One embodiment of the present invention provides a system for recognizing and classifying clothes. During operation, the system captures at least one image of a clothing item. The system further determines a region on the captured image which corresponds to a torso and/or limbs. The system also determines at least one color composition, texture composition, collar configuration, and sleeve configuration of the clothing item. Additionally, the system classifies the clothing item into at least one category based on the determined color composition, texture composition, collar configuration, and sleeve configuration. The system then produces a result which indicates the classification.

Abstract: One embodiment of the present invention provides a system that enables a user to visually compare the effects of one or more clothing sets in front of a mirror. During operation, the system detects and stores images of a user wearing a piece of clothing in front of mirror. Similar stored poses from either the user or from members of the user's social network can be retrieved later to compare the effects of the current piece of clothing to the retrieved clothing. The poses are then displayed in close proximity to the mirror so that the user can visually compare the effects. Displaying multiple such poses in sequence and in fast response to changes in the user's orientation creates the effect that the system is tracking the user's movements and presenting poses that are substantially synchronized to the user's movements.