Abstract: Systems and methods for extracting information from structured documents are provided. The systems and methods relate to selecting a centroid document from a group of structured documents, selecting a subset of the group of structured documents in order to form a cluster of the subset of documents about the centroid document. The selecting the subset is preferably based on the relative similarity between each of the selected subset and the centroid document. Then, systems and methods according to the invention include marking a data element on the centroid document. The systems and elements also include identifying a data element on each of the subset of documents, the data element that corresponds to the marked data element on the centroid document. Finally, data may be extracted from the subset of documents based on the identifying step.

Abstract: Systems and methods for facilitating online comparison shopping, including a similarity engine, a navigational system, and a step skipping system. The systems and methods according to the invention include a method for determining similarity between two preferably disparate products. The systems and methods also preferably include a method of increasing efficiency of navigation in a comparison shopping site based on product coverage and product entropy. The systems and methods further include a method of step-skipping to quicken user navigation through a comparison shopping site.

Abstract: Systems and methods for extracting information from structured documents are provided. The systems and methods relate to selecting a centroid document from a group of structured documents, selecting a subset of the group of structured documents in order to form a cluster of the subset of documents about the centroid document. The selecting the subset is preferably based on the relative similarity between each of the selected subset and the centroid document. Then, systems and methods according to the invention include marking a data element on the centroid document. The systems and elements also include identifying a data element on each of the subset of documents, the data element that corresponds to the marked data element on the centroid document. Finally, data may be extracted from the subset of documents based on the identifying step.

Abstract: Systems and methods for dynamically updating ranking of items retrieved in response to a search query are provided. Specifically, systems and methods according to the invention preferably decrease a value associated with a selected item and increase a value of non-selected items that, prior to the selection, had a lesser weight than the selected item. Alternatively, if the list was ranked from higher value to lowest value, the selected item would be rewarded by an increase in its score and the non-selected items that previously had a higher value would have their respective values decreased. It should be noted than any and all values and weights described herein may be normalized to ensure appropriate results. Alternative embodiments of the invention are directed to methods and systems for classifying groups of items into meta-products and then updating the rankings of the items based at least in part on the meta-product classification.

Abstract: Systems and methods for using automated translation and other statistical methods to convert a classifier in one language to another language are provided. In one embodiment of the invention, a method preferably includes marking target language examples of passages of text in order to obtain an initial classifier in the target language, re-classifying a plurality of target language examples in the initial classifier, and then questioning—i.e., determining the validity—of the marking used to obtain the initial classifier. Preferably, the questioning is based on the re-classifying. Then, preferably following the questioning, the method isolates a high-quality set of target examples based on the results of the questioning. Finally, the method uses the high-quality set of target examples to prepare a high-quality classifier in the target language.

Abstract: Systems and methods for facilitating online comparison shopping, including a similarity engine, a navigational system, and a step skipping system. The systems and methods according to the invention include a method for determining similarity between two preferably disparate products. The systems and methods also preferably include a method of increasing efficiency of navigation in a comparison shopping site based on product coverage and product entropy. The systems and methods further include a method of step-skipping to quicken user navigation through a comparison shopping site.

Abstract: Systems and methods for dynamically updating ranking of items retrieved in response to a search query are provided. Specifically, systems and methods according to the invention preferably decrease a value associated with a selected item and increase a value of non-selected items that, prior to the selection, had a lesser weight than the selected item. Alternatively, if the list was ranked from higher value to lowest value, than the selected item would be rewarded by an increase in its score and the non-selected items that previously had a higher value would have their respective values decreased. It should be noted than any and all values and weights described herein may be normalized to ensure appropriate results. Alternative embodiments of the invention are directed to methods and systems for classifying groups of items into meta-products and then updating the rankings of the items based at least in part on the meta-product classification.

Abstract: Systems and methods for dynamically updating ranking of items retrieved in response to a search query are provided. Specifically, systems and methods according to the invention preferably decrease a value associated with a selected item and increase a value of non-selected items that, prior to the selection, had a lesser weight than the selected item. Alternatively, if the list was ranked from higher value to lowest value, than the selected item would be rewarded by an increase in its score and the non-selected items that previously had a higher value would have their respective values decreased. It should be noted than any and all values and weights described herein may be normalized to ensure appropriate results. Alternative embodiments of the invention are directed to methods and systems for classifying groups of items into meta-products and then updating the rankings of the items based at least in part on the meta-product classification.