摘要:
Embodiments relate predicting an attitude of a user towards a target without directly surveying the user. Social media data associated with or related to a target is collected and stored. A set of attitude features are computed from the collected data. A statistical model is built with both the collected data and the assessed attitude features. The statistical data is converted to an attitude prediction, with the prediction emanating from personal and social characteristics as evident in the social media data.
摘要:
Embodiments include a program product and a method for providing responses to questions provided on a social media site. The method includes receiving, via a processor, a user question from a social networking site and decomposing and filtering the user question so that it can be further analyzed. The method also includes generating a list of most closely matched potential responders based on analysis of the user question and sending the most closely matched potential responders the user question. Upon receiving responses back from the most closest matched potential responders, these responses are aggregated by the processor in a final response format.
摘要:
Embodiments relate to detecting an attitude of a user towards a target prior to or without presence of a direct expression of the attitude. A dictionary is built with a first collection of positive attitude content and a second collection of negative attitude content. In addition, a statistical model of attitude relevance is constructed based on content based similarity metrics. The model utilizes the dictionary and statistically assesses attitude relevance. Based on the assessment the user is classified as relevant or non-relevant for attitude towards the target.
摘要:
Embodiments of the invention relate to assessing characteristics of a message and a message recipient. A trust model is established to take into account a set of trust antecedents, including characteristics of the messages and properties of the recipients, a set of action motivations, and their contribution to the action-based trust measurement. The assessment(s) is utilized to produce a tangible trust measurement that is employed to gauge the recipient's perception of credibility towards the received message.
摘要:
Embodiments relate to optimizing user response rate in social media. One embodiment includes generating a model for modeling a likelihood of social media user response from data collected from social media based on social media user filtering criteria and historical information. Modeling the likelihood includes estimating ability of social media users to perform a particular task based on social media user information including tracking of the social media users, evaluating previous task responses and personality features. Social media users are selected based on estimated ability to perform the particular task for maximizing a response rate.
摘要:
A computer processor accesses QA forum activity associated with users of a QA forum, wherein the QA forum activity contains historical questions, historical answers, and profiles, each having elements including QA forum information. The processor accesses historical online social activity corresponding to the users of the QA forum, each historical online social activity having elements including at least social activity information. The processor performs a first similarity calculation and selects an at least one model answerer based on the similarity between elements of a question on the QA forum, and the elements of the QA forum activity associated and corresponding to each of the users of the QA forum. Based on a second similarity calculation, the processor determines a similarity between the QA forum user elements and the at least one model answerer elements, and identifies at least one prospect answerer from the QA forum users.
摘要:
Embodiments relate to optimizing user response rate in social media. One embodiment includes generating a model for modeling a likelihood of social media user response from data collected from social media based on social media user filtering criteria and historical information. Modeling the likelihood includes estimating ability of social media users to perform a particular task based on social media user information including tracking of the social media users, evaluating previous task responses and personality features. Social media users are selected based on estimated ability to perform the particular task for maximizing a response rate.
摘要:
Embodiments of the invention relate to optimizing user response rate in social media. One embodiment includes generating a statistical model for modeling a likelihood of social media user response from data collected from social media using a set of available features. The social media users are ranked in an estimation set based on the statistical model. The ranked social media users are placed in a rank ordered list. A sub-interval on the rank ordered list is selected for maximizing the response rate.
摘要:
Embodiments of the invention provide for generating a data presentation artifact. In one aspect of the invention a first data presentation object and a second data presentation object are received from a repository. The first data presentation object defines a first data presentation artifact. The second data presentation object defines a second data presentation artifact. At least one mashup operation is identified that may be performed using the first data presentation object and the second data presentation object. One or more mashup operations are selected from the identified mashup operations. A third data presentation artifact is then generated by applying the selected mashup operations to the first and the second data presentation objects.
摘要:
Embodiments include a program product and a method for providing responses to questions provided on a social media site. The method includes receiving, via a processor, a user question from a social networking site and decomposing and filtering the user question so that it can be further analyzed. The method also includes generating a list of most closely matched potential responders based on analysis of the user question and sending the most closely matched potential responders the user question. Upon receiving responses back from the most closest matched potential responders, these responses are aggregated by the processor in a final response format.