Patent application number | Description | Published |
20110016184 | Downloading a plug-in on an instant messaging client - Downloading a plug-in for an Instant. Messaging (IM) client includes receiving a request for the plug-in from a user of the IM client; detecting a directly accessible peer client that is currently online; sending a plug-in download request to the directly accessible peer client; and in the event that the plug-in is received from the directly accessible peer client, installing the plug-in on the IM client. | 01-20-2011 |
20150189227 | SYSTEM AND METHOD FOR IMPLEMENTING VIDEO CALLS - Embodiments of the present application relate to a method for implementing video calls, a system for implementing video calls, and a computer program product for implementing video calls. A method for implementing video calls is provided. The method includes maintaining persistent connections with a plurality of terminals used to make video calls, each terminal having a universally unique identifier, receiving a video call request from a calling terminal via one of the persistent connections, the video call request including the universally unique identifier of the calling terminal, equipment descriptive information of the calling terminal, and the universally unique identifier of a called terminal, notifying the called terminal via one of the persistent connections, the notification being based on the universally unique identifier of the called terminal, receiving a response from the called terminal, and establishing a video call channel based on the received response. | 07-02-2015 |
Patent application number | Description | Published |
20100332980 | MANAGING DOCUMENT INTERACTIONS IN COLLABORATIVE DOCUMENT ENVIRONMENTS OF VIRTUAL WORLDS - Embodiments described herein are directed to managing document interactions in a collaborative document area of a virtual world. Document interactions of avatars in the collaborative document area of the virtual world are captured by an interaction tool deployed in the collaborative document area. The document interactions are related to at least one document in the collaborative document area. The document interactions are associated with the at least one document based on a reference scheme applied to the collaborative document area by an interaction association unit. | 12-30-2010 |
20100332998 | COLLABORATIVE DOCUMENT ENVIRONMENTS IN THREE-DIMENSIONAL VIRTUAL WORLDS - Embodiments described herein are directed to a collaborative document environment for reviewing a collection of documents stored in a repository of a document management system. A shared collaborative document area in a virtual world is associated with a corresponding collection of documents in a document management system. The shared collaborative document area is customized based on a semantic context of the documents in the collection of documents. | 12-30-2010 |
20110131536 | GENERATING AND RANKING INFORMATION UNITS INCLUDING DOCUMENTS ASSOCIATED WITH DOCUMENT ENVIRONMENTS - Embodiments described herein are directed to forming information units. Digital documents associated with collaborative navigation behavior information can be identified and an information unit can be generated using transition probabilities calculated from collaborative navigation information. The information unit including at least a subset of the digital documents identified in the collaborative navigation behavior information. A rank of information unit based on the collaborative navigation behavior information can be calculated. | 06-02-2011 |
20120016878 | CONSTRAINED NONNEGATIVE TENSOR FACTORIZATION FOR CLUSTERING - Methods and systems for clustering information items using nonnegative tensor factorization are disclosed. A processing device receives one or more class labels, each corresponding to an information item, a selection for a nonnegative tensor factorization model having an associated objective function and one or more parameter values, each corresponding to one of one or more penalty constraints. The processing device determines a constrained objective function based on the objective function associated with the selected nonnegative tensor factorization model, the one or more parameter values and the one or more class labels and including the one or more penalty constraints. The processing device determines clusters for the plurality of information items by evaluating the constrained objective function. Pairwise constraints may be received in addition to or instead of the class labels. | 01-19-2012 |
20130073298 | METHODS AND SYSTEMS FOR RECOMMENDING VENDORS TO SUBMIT BIDS FOR A PRINT JOB - A method of recommending vendors to bid on a print job may include identifying a print job for which a recommendation of vendors to bid on the print job is desired and identifying one or more vendors as potential bidders for the print job. The method may include, for each identified vendor, determining, by a computing device, a bidding probability associated with the vendor, a winning probability associated with the vendor, a recommendation probability associated with the vendor, and identifying the vendor as a recommended vendor based on the associated recommendation probability. The method may include notifying a user of the recommended vendors. | 03-21-2013 |
Patent application number | Description | Published |
20120154850 | SYSTEM AND METHOD OF ESTIMATING THE COST OF A PRINT JOB - A method of estimating the cost of a target print job may include identifying a target print job having a document type and one or more attributes, for each attribute of the target print job, determining a correlation between the attribute and a cost of the target print job using a plurality of historical print jobs associated with the document type, and identifying one or more of the attributes as cost drivers based on the correlation of the attribute to the cost of the target print job. The method may include identifying one or more relevant historical print jobs from the plurality of historical print jobs based on values for the identified cost drivers, estimating a cost of the target print job using the one or more relevant historical print jobs, and displaying the estimated cost associated with the target print job. | 06-21-2012 |
20120259616 | SYSTEMS, METHODS AND DEVICES FOR GENERATING AN ADJECTIVE SENTIMENT DICTIONARY FOR SOCIAL MEDIA SENTIMENT ANALYSIS - Embodiments generally relate to systems and methods for generating a sentiment dictionary and calculating sentiment scores of adjectives within the sentiment dictionary. A set of seed words can be identified and expanded using synonyms and antonyms of the set of seed words. Social media data can be parse to identify adjectives that link to the set of seed words with the words “and” or “but.” Matrices representing the attraction and repulsion among the linked adjectives can be generated. A factorization algorithm can be minimized to determine an output matrix that comprises positive and negative sentiment scores for each of the adjectives. In embodiments, a sentiment score for part of all of the social media data can be calculated using the output matrix, and one or more parts of the social media data can be classified as a positive or negative sentiment. | 10-11-2012 |
20140250032 | METHODS, SYSTEMS AND PROCESSOR-READABLE MEDIA FOR SIMULTANEOUS SENTIMENT ANALYSIS AND TOPIC CLASSIFICATION WITH MULTIPLE LABELS - Methods, systems and processor-readable media for simultaneous sentiment analysis and topic classification with multiple labels. A sentiment and topic associated with a post can be classified at similar time and a result can be incorporated to predict a feature so that a label of two (or more) tasks can promote and reinforce each other iteratively. A feature extraction and selection can be performed on the tasks and a multi-task multi-label classification model can be trained for each task with maximum entropy utilizing multiple labels to ascertain information derived from an extra label and to manage class ambiguities. Each task has a separate classification model with different predicting features and they can be trained collectively which allows flexibility in model construction. The multi-task multi-label classification model produces a probabilistic result and the classes can be ranked by the probabilistic result and the post can be classified with the multi-label. | 09-04-2014 |
Patent application number | Description | Published |
20130080212 | METHODS AND SYSTEMS FOR MEASURING ENGAGEMENT EFFECTIVENESS IN ELECTRONIC SOCIAL MEDIA - A system and method for measuring engagement effectiveness with respect to a service agent by analyzing a conversation between the agent and a customer in a social media environment. A conversation history between the agent and the customer can be mapped into a multi-resolution space based on different time frames via a mapping module. A polarized topical and sentimental distance between the continuous conversations can be calculated by applying a topic-sentiment mixture model and a divergence theorem onto the conversation history with respect to the time frame. Finally, the polarized topical distances can be aggregated in a time-sensitive way based on a time function and an effectiveness score can be calculated and represented as a weighted pyramid kernel of multiple levels. Such a time-sensitive pyramid kernel function based on the implicit topical and sentimental correspondences between daily conversations enables discriminative evaluation for the agent engagement in a customer care. | 03-28-2013 |
20130086072 | METHOD AND SYSTEM FOR EXTRACTING AND CLASSIFYING GEOLOCATION INFORMATION UTILIZING ELECTRONIC SOCIAL MEDIA - Methods, systems and processor-readable media for extracting and classifying location information utilizing social media messages and/or data thereof. The social media messages can be sampled from a social media database and the messages filtered based on a heuristic rule. A geolocation entity from the unstructured social media messages can be extracted utilizing a geolocation entity extracting module. The messages with the geoentities can be uploaded onto a crowd sourcing platform to manually annotate the messages with a label. A text classification model can be built and learned from the label utilizing a machine learning algorithm and the messages can be classified by a location classifier in order to extract the user location. The user location can then be transformed into a geocode so that a spatial search can be enabled and the distance between the locations can be easily calculated. | 04-04-2013 |
20130151531 | SYSTEMS AND METHODS FOR SCALABLE TOPIC DETECTION IN SOCIAL MEDIA - Embodiments generally relate to systems and methods for detecting topics in social media data. More particularly, the systems and methods can extract a concept hierarchy from a set of data, wherein the concept hierarchy comprises a plurality of layers. Further, the systems and methods can train topic models based on the content in each of the layers. Still further, the systems and methods can select the most appropriate topic model for social media data by balancing the complexity of the model and the accuracy of the topic detection result. Moreover, the systems and methods can use the most appropriate topic model to detect topics in social media data. | 06-13-2013 |
20140279618 | METHOD AND APPARATUS FOR RECOMMENDING TOPIC-COHESIVE AND INTERACTIVE IMPLICIT COMMUNITIES IN SOCIAL CUSTOMER RELATIONSHIP MANAGEMENT - A method, non-transitory computer readable medium, and apparatus for recommending a topic-cohesive and interactive implicit community are disclosed. For example, the method receives a request for customer care, selects an implicit community identified from a plurality of individual users of a social media website based upon a relevance score related to a topic of the request for customer care and recommends the implicit community in response to the request for customer care. | 09-18-2014 |
20140280621 | Conversation analysis of asynchronous decentralized media - The present disclosure provides a system that allows for the real-time and online monitoring of the exchanges between customers and a CRM team over social media. While crawling all messages exchanged over the social media by customers and CRM team, the system aggregates related messages exchanged between a given customer and the CRM team into a conversation. The system includes a linguistic framework for the analysis of conversations (based on the two linguistic theories of dialog acts and conversation analysis) to label the nature of the messages in a conversation or thread. | 09-18-2014 |
20150052120 | METHOD AND APPARATUS FOR EXTRACTING PORTIONS OF TEXT FROM LONG SOCIAL MEDIA DOCUMENTS - A method, non-transitory computer readable medium, and apparatus for extracting text from a social media document are disclosed. For example, the method indexes a plurality of social media documents into a plurality of snippets, receives a query including one or more keywords and a purpose, identifies one or more of the plurality of snippets that include the one or more keywords in an index, ranks the one or more of the plurality of snippets in accordance with the purpose and provides the one or more plurality of snippets that are ranked in accordance with the purpose. | 02-19-2015 |
20150058344 | METHODS AND SYSTEMS FOR MONITORING AND ANALYZING SOCIAL MEDIA DATA - A system and method for analyzing social media data by obtaining social media data from a social media platform, where the social media data includes documents from multiple users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment with each term; detecting a first event based on a number of occurrences of a first term in the documents; and providing information associated with the event to a user, where the information includes the first term and a sentiment associated with the first term. | 02-26-2015 |
20150309962 | METHOD AND APPARATUS FOR MODELING A POPULATION TO PREDICT INDIVIDUAL BEHAVIOR USING LOCATION DATA FROM SOCIAL NETWORK MESSAGES - A method, non-transitory computer readable medium, and apparatus for predicting a location behavior of at least one individual are disclosed. For example, the method receives a plurality of social networking messages having spatial location data and user identification information, filters the plurality of social networking messages to remove one or more of the plurality of social networking messages that are not related to mobility of a user to create a filtered plurality of social networking messages, creates a population model by applying a kernel density estimation to the filtered plurality of social networking messages, creates an individual model for each different user identification by applying the kernel density estimation to a subset of the filtered plurality of social networking messages for the each different user identification and generates a probability density function map that predicts the location behavior of the at least one individual. | 10-29-2015 |