Systems Methods Circuits and Associated Computer Executable Code for Digital Catalog Augmentation

Abstract

Disclosed are methods, circuits, devices, systems and functionally associated computer executable code for digital catalog augmentation. A digital catalog interface module reads from a digital catalog data storage, directly or indirectly, one or more catalog data records constituting an offer listing within a digital catalog, wherein the offer listing may include a description of a specific product or service offering and/or links to execute a transaction relating to the offering. The system includes a Review Criteria and Sentiment Extractor (RCSE) to identify and convert one or more reviews posted on a review forum into one or more data records used to augment the offer listing within the digital catalog.

1 . A digital catalog augmentation system comprising:
 a digital catalog interface module to read from a digital catalog data storage, directly or indirectly, one or more catalog data records constituting an offer listing within a digital catalog, wherein the offer listing includes a description of a specific product or service offering; and   a Review Criteria and Sentiment Extractor (RCSE) to identify and convert one or more reviews posted on a review forum into one or more data records used to augment the offer listing within the digital catalog.   
     
     
         2 . The digital catalog augmentation system according to  claim 1 , wherein said catalog interface is further adapted to write to the digital catalog data storage, directly or indirectly, one or more catalog data records used to augment the offer listing within the digital catalog. 
     
     
         3 . The digital catalog augmentation system according to  claim 1 , wherein said RCSE comprises a scrapper to scan through one or more review forums and to identify and copy text from one or more reviews relating to the offer listing in the digital catalog. 
     
     
         4 . The digital catalog augmentation system according to  claim 1 , wherein said scrapper is adapted to scrape reviews posted to a review forum integral or otherwise associated with a digital commerce platform of the digital catalog. 
     
     
         5 . The digital catalog augmentation system according to  claim 1 , wherein said scrapper is adapted to scrape reviews posted to a review forum integral or otherwise associated with another digital platform such as an online blog, a reviews website, a social network, or any other server accessible through the internet. 
     
     
         6 . The digital catalog augmentation system according to  claim 3 , wherein said RCSE includes a natural language processor to extract from the copied text at least one offering related criteria associated with the offer listed in the digital catalog. 
     
     
         7 . The digital catalog augmentation system according to  claim 6 , wherein said natural language processor is further adapted to extract from the copied text at least one assessment of or sentiment towards the listed offering within a context of an extracted criteria. 
     
     
         8 . The digital catalog augmentation system according to  claim 6 , wherein said natural language processor is context aware, such that said processor cross-correlates pre-stored feature or attribute information of an offering which is a subject of a specific review, either a product or a service, as part of processing the review for criteria and sentiment extraction about the offering. 
     
     
         9 . The digital catalog augmentation system according to  claim 1 , wherein augmenting the offer listing includes: (a) adding one or more data records or files to be rendered as part of the offer listing in the digital catalog; (b) editing one or more data records or files to be rendered as part of the offer listing in the digital catalog; and (c) removing one or more data records or files to be rendered as part of the offer listing in the digital catalog. 
     
     
         10 . The digital catalog augmentation system according to  claim 9 , wherein an added or modifier record includes at least one extracted offering related criteria and an extracted assessment or sentiment corresponding to the extracted criteria. 
     
     
         11 . The digital catalog augmentation system according to  claim 9 , wherein an added or modifier record expands a feature matrix generated as part of the digital catalog offer listing. 
     
     
         12 . The digital catalog augmentation system according to  claim 1 , wherein extraction of a threshold number of reviews with negative sentiment triggers one or more of: (a) generation of a report; (b) a change in placement of the offer listing within the digital catalog; (c) a change in catalog search engine result placement; and (d) a suspension or delisting of the offering from the catalog. 
     
     
         13 . The digital catalog augmentation system according to  claim 1 , wherein said review extractor further comprises a reviewer assessment module adapted to assess credibility of a poster of one or more offering reviews. 
     
     
         14 . The digital catalog augmentation system according to  claim 1 , wherein the review extractor further comprises review normalization logic to correct transliterated (mixed-code) language by: (a) referencing a knowledge base in various languages; or (b) converting transliterated review language into original scripts utilizing domain specific spell correction to obtain the nearest possible words. 
     
     
         15 . The digital catalog augmentation system according to  claim 1 , wherein detection of a review about an offering being posted with negative sentiment towards the offering triggers an automated response to the review writer with a replacement offer and or a monetary compensation offer. 
     
     
         16 . The digital catalog augmentation system according to  claim 1 , wherein augmenting the offer listing within the digital catalog includes providing links to an alternate offering, wherein the alternate offering is selected: (a) when one or more reviews indicate superior properties or attributes of the alternate offering; (b) when one or more reviews indicate dissatisfaction with one or more properties, features or attributes of the listed offering and the alternate has a higher rating corresponding to the one or more properties, features or attributes; (c) when one or more reviews indicate an unmet expectation with regard to one or more properties, features, or attributes of the listed offering and the alternate offering is known to meet the expectation with regard to the one or more properties, features or attributes.