Abstract: Method(s) and system(s) for collaboration of content are described herein. The system includes a dynamic content editor coupled to a processor to generate a graphical user interface including interactive elements for receiving user inputs for relating contents in a content repository and specifying a layout of display of curated contents. The system further includes a content processing engine coupled to the processor to build relationships between the contents in the content repository, based on the user inputs, data and metadata of the contents; and provide the curated contents to a user based on the relationships and the specified layout of display.

Abstract: Disclosed is a system and method for processing a transaction. The method comprises receiving an input data from a user. The input data is associated with the transaction. The method further comprises creating a decision tree or a decision table based upon the input data and pre-defined rules. The decision tree comprises a parent node and a child node. The parent node and the child node comprise a first question and a second question respectively presented to the user. The decision table comprises a plurality of criteria/conditions being presented to the user. For each criteria/condition, a conditional response is received from the user. The method further comprises processing the transaction by identifying a solution, stored in a database, based on the decision tree or the decision table.

Abstract: Disclosed is a method and system for classifying a plurality of customer accounts based on a recoverable amount from a customer account. The method includes receiving historical data of the customer account and a user input indicating a selection of a predictive analytics algorithm from a set of predictive analytics algorithms, and building a predictive data model by executing the predictive analytics algorithm on the historical data. The building includes computing a contact index for the customer account and a payment index for the customer account. The building further includes computing a recoverability index based on the contact index, the payment index, and the outstanding amount. The recoverability index denotes the recoverable amount. The method further includes classifying the customer account based on the recoverability index.

Abstract: An assessment system for assessment of Open Source Software (OSS) products including a computation module configured to receive a rating, for product criterions of each OSS product from an assessor, based on product parameters of each of the OSS products. The product criterions are associated with one or more product categories. The computation module is further configured to compute a product weighted score for each product criterion based at least on the rating and then generates a product scorecard for each OSS product. Upon generation of the product scorecards, an assessing module is configured to identify an optimum OSS product amongst the OSS products based on the assessment of the product scorecard and a benchmark scorecard of an OSS product.