Abstract: An aspect of the invention relates to the field of an automatic chat support and analytics (recommender) engine for digital sales. The analytics engine interactively and iteratively collects the feature value of a client's profile by automatically generating questions in different styles and extracting the semantic information from the client's responses. The accumulated feature information for the client can enhance the capability of a recommender engine. Specifically, for item recommendation, the recommender engine includes components for item scoring and its confidence estimation, feature importance scoring, missing feature inference and confidence estimation by smoothing the corresponding feature values from the most similar clients. The recommender engine also involves a client response analytics component, which performs a quality check by evaluating the consistency between the inferred feature value from the similar clients and the extracted one from the client's response.

Abstract: An aspect of the invention relates to the field of an automatic chat support and analytics (recommender) engine for digital sales. The analytics engine interactively and iteratively collects the feature value of a client's profile by automatically generating questions in different styles and extracting the semantic information from the client's responses. The accumulated feature information for the client can enhance the capability of a recommender engine. Specifically, for item recommendation, the recommender engine includes components for item scoring and its confidence estimation, feature importance scoring, missing feature inference and confidence estimation by smoothing the corresponding feature values from the most similar clients. The recommender engine also involves a client response analytics component, which performs a quality check by evaluating the consistency between the inferred feature value from the similar clients and the extracted one from the client's response.

Abstract: Systems for database optimization include a database rebuild module configured to compact columns in an unoptimized database that co-appear in queries to the unoptimized database into a single hyper-column to form an optimized database. A database interface module is configured to accept queries according to a schema for the unoptimized database and to translate the accepted queries into queries according to a schema for the optimized database.

Abstract: Techniques are provided for providing a local computation service on client device authorized by a remote service provider while keeping local data private from the remote service provider. In one example, a computer-implemented method comprises transmitting, by a device operatively coupled to a processor, a homomorphic encryption public key and homomorphically encrypted input data to a service provider. The computer-implemented method also comprises receiving, by the device from the service provider, a homomorphically encrypted signature generated based on the homomorphic encryption public key, the homomorphically encrypted input data, and a homomorphic encryption equivalent defined function.

Abstract: Techniques for neural network training are provided. One computer-implemented method comprises: obtaining, by an electronic device operatively coupled to a processing unit, based on a similarity between two images, a first image and a second image. The computer-implemented method also comprises training, by the electronic device, a neural network based on the first image and the second image such that a distance between a first vector and a second vector generated respectively from the first image and the second image in the trained neural network is associated with the similarity.

Abstract: Disclosed are a computer-implemented method for generating a data cube from data, a system and a computer program product. The method comprises selecting a candidate granularity from a plurality of candidate granularities determined for a dimension of the data cube, where a data distribution obtained in the selected candidate granularity satisfies a predetermined condition; and generating the data cube based on the selected candidate granularity for the dimension.

Abstract: Methods and systems for database optimization include detecting a plurality of columns in an unoptimized database that co-appear in queries to the database. The plurality of columns are compacted into a single hyper-column to form an optimized database. Each entry in the hyper-column includes data from a corresponding entry in each of the plurality of columns. An interface is generated for the optimized database that accepts queries according to a schema for the unoptimized database and translates the queries into queries according to a schema for the optimized database.

Abstract: Techniques for model based data processing are proposed. In one example, a computer-implemented method is as follows. A first model is determined from a first category of data processing models and a second model is determined from a second category of data processing models. The second category can be different from the first category in some instances. Performance of a first combined model of the first and second models can be compared with performance of the first model. A target model for processing data can be selected from the first combined model and the first model based on the comparing.

Abstract: Methods and systems for monitoring interesting subjects. A method including: selecting, based on a first collection of interesting subjects, a set of critical nodes including at least one critical node which participates in one or more interesting subjects in the first collection; and monitoring contents posted by the one or more critical nodes in the set so as to find a second collection of interesting subjects. The set of critical nodes which participate in one or more interesting subjects in the first collection of interesting subjects is selected based on the first collection, as objects to be monitored, thereby reducing the number of contents posted by the nodes to be monitored as compared with monitoring all the user nodes, so that interesting subjects such as hot news or hot events can be found in real time with high efficiency and low cost.

Abstract: A method of generating a predictor to classify data includes: training each of a plurality of first classifiers arranged in a first level on current training data; operating each classifier of the first level on the training data to generate a plurality of predictions; combining the current training data with the predictions to generated new training data; and training each of a plurality of second classifiers arranged in a second level on the new training data. The first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively.

Abstract: Embodiments include a system, method, and computer program product for foreign organization name matching. Aspects include receiving a first entity name from a first database configured in a first language and receiving a second database, wherein the second database includes a plurality of entity names in a second language, wherein the first and second languages are different. Aspects also include performing an Internet search based on the first entity name, wherein a language setting of the Internet search is configured to the second language and identifying a list of candidate names based on a set of results from the Internet search. Another aspect includes filtering the list to obtain a resulting candidate name and determining whether the resulting candidate name matches one of the entity names in the second database. Aspects include associating the first entity name and a matching entity name in the second database based on the determination.

Abstract: Embodiments include a system, method, and computer program product for foreign organization name matching. Aspects include receiving a first entity name from a first database configured in a first language and receiving a second database, wherein the second database includes a plurality of entity names in a second language, wherein the first and second languages are different. Aspects also include performing an Internet search based on the first entity name, wherein a language setting of the Internet search is configured to the second language and identifying a list of candidate names based on a set of results from the Internet search. Another aspect includes filtering the list to obtain a resulting candidate name and determining whether the resulting candidate name matches one of the entity names in the second database. Aspects include associating the first entity name and a matching entity name in the second database based on the determination.

Abstract: Embodiments include a system, method, and computer program product for foreign organization name matching. Aspects include receiving a first entity name from a first database configured in a first language and receiving a second database, wherein the second database includes a plurality of entity names in a second language, wherein the first and second languages are different. Aspects also include performing an Internet search based on the first entity name, wherein a language setting of the Internet search is configured to the second language and identifying a list of candidate names based on a set of results from the Internet search. Another aspect includes filtering the list to obtain a resulting candidate name and determining whether the resulting candidate name matches one of the entity names in the second database. Aspects include associating the first entity name and a matching entity name in the second database based on the determination.

Abstract: A method, system and computer program product are disclosed for recommending terms in a document based on a specified interaction with the document. In one embodiment, the method comprises displaying a document on a device; detecting a specified interaction with the document displayed on the device; identifying text associated with the specified interaction with the document displayed on the device; performing object recognition with the identified text to recognize one or more defined interested objects; and recommending terms in the document based on the recognized defined interested objects. In an embodiment, the object recognition includes identifying one or more objects from the text, and performing the object recognition with these objects to recognize the one or more interested objects. In an embodiment, one or more terms are extracted from the text, and these terms are partitioned to identify the one or more objects from the text.

Abstract: In an approach to determining an air quality based on image, a computer performs a method, the method comprising: determining an image to be measured; determining an air quality model of at least one key area, the at least one key area including a key area associated with the image to be measured; acquiring a reference clear image corresponding to the image to be measured; and determining an air quality index to be measured based on an air quality related feature extracted from the image to be measured, the corresponding reference clear image, and the determined air quality model of the key area associated with the image to be measured.

Abstract: A method and apparatus for generating a training model based on feedback are provided. The method for generating a training model based an feedback, includes calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by a user for one or more of the plurality of samples in a round, obtaining scores granted by the user for a first number of samples; obtaining scores granted by the user for a second number of samples in response to detecting, based on the eigenvector, an inconsistency between the scores granted by the user for the first number of samples; and generating a training model based on the scores granted by the user for the first and second numbers of samples. A corresponding apparatus is also provided.

Abstract: An approach for a computer to evaluate a predictive model includes identifying features of training samples in a set of training samples. The approach selects evaluation metrics from a set of evaluation metrics as available metrics using identified features and includes determining recommended metrics using the predictive model, the available metrics, and a predetermined set of user-preferred metrics. The approach applies the predictive model created using the set of training samples to a set of test samples to calculate values of the available metrics. The approach evaluates the predictive model by using the available metrics and the values of the available metrics to evaluate the predictive model by evaluating the predictive model using the recommended metrics and the values of the recommended metrics.

Abstract: A computer-implemented method, computer program product, and system for detecting work-piece defects. The computer-implemented method may include: receiving a first image of a training work-piece captured using a non-destructive imaging process and a second image of the training work-piece captured using a destructive imaging process; receiving an image of a work-piece captured using a non-destructive imaging process, wherein the work-piece is substantially similar to the training work-piece, and the non-destructive imaging process used to capture the work-piece is substantially similar to the non-destructive imaging process used to capture the training work-piece; matching the image of the work-piece to the first image of the training work-piece; and enhancing the image of the work-piece using the second image of the training work-piece, in response to the image of the work-piece matching the first image of the training work-piece.

Abstract: A method and an apparatus for managing task in mobile device. The method includes estimating a first amount of resources that will be consumed by the mobile device in executing the task; determining network configuration that is allocable to the mobile device; estimating a second amount of resources that will be consumed by the mobile device when a computing node in a mobile computing environment executes the task under the network configuration; and determining that the task is to be executed by the mobile computing environment in response to the second amount being less than the first amount by a predefined threshold.

Abstract: Location based on call detail record. The method includes: acquiring handover call detail record (HCDR) data and handover (HO) data corresponding to at least one cell transfer during a call; The HCDR data can include a start time, an end time, passed cells during the call; The HO data can include the HO time for each pair of adjacent cells among the passed cells during the call. The method can further include estimating the location of the subscriber based on the HCDR data and the HO data.