Abstract: In certain embodiments, a method includes receiving, in association with a configuration of a proposed cloud solution, a selection of a first cloud solution aspect made by a user of a guidance tool, and generating, using a hybrid recommender system, a recommendation for a subsequent selection of a second cloud solution aspect of the configuration of the proposed cloud solution. The hybrid recommender system may include a collaborative filtering system and a content-based filtering system, and may generate the recommendation according to information that includes user information, prior configuration information, and the selection. The method further includes providing the recommendation to the user via a user interface of the guidance tool; receiving the subsequent selection; and generating, by the guidance tool, a proposed cloud solution output based at least in part on the selection and the subsequent selection.

Abstract: In certain embodiments, a method includes receiving, in association with a configuration of a proposed cloud solution, a selection of a first cloud solution aspect made by a user of a guidance tool, and generating, using a hybrid recommender system, a recommendation for a subsequent selection of a second cloud solution aspect of the configuration of the proposed cloud solution. The hybrid recommender system may include a collaborative filtering system and a content-based filtering system, and may generate the recommendation according to information that includes user information, prior configuration information, and the selection. The method further includes providing the recommendation to the user via a user interface of the guidance tool; receiving the subsequent selection; and generating, by the guidance tool, a proposed cloud solution output based at least in part on the selection and the subsequent selection.

Abstract: A method for multi-modal data fusion (100), a multi-modal system data fusion system (10) and module (24) that in use operates by receiving segments (125) of multi-modal data associated respectively with a modalitiy. Initiating (130) a dynamically variable wait period after one of the segments is received is then performed. The dynamically variable wait period has a duration determined from data fusion timing statistics of the system (10). A waiting (140) for reception of any further segments during the dynamically variable wait period is then effected and thereafter a fusing (145) of the segments received provides fused data that is sent (160) to a dialog manager (25).

Abstract: A method for multi-modal data fusion (100), a multi-modal system data fusion system (10) and module (24) that in use operates by receiving segments (125) of multi-modal data associated respectively with a modalitiy. Initiating (130) a dynamically variable wait period after one of the segments is received is then performed. The dynamically variable wait period has a duration determined from data fusion timing statistics of the system (10). A waiting (140) for reception of any further segments during the dynamically variable wait period is then effected and thereafter a fusing (145) of the segments received provides fused data that is sent (160) to a dialog manager (25).