NLP-BASED CONTENT RECOMMENDER

摘要

Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

主权项

1. A computer-implemented method for providing natural language based content recommendations, comprising:
receiving an indication of text content; processing the indicated text content using natural language based parsing and language analysis techniques to derive a list of all of the named entities present in the indicated text; presenting an ordered list of the derived named entities, the list reflective of what the text content concerns; and presenting indicators of additional content associated with the derived named entities wherein the additional content is provided upon receiving an indication that the presented indicator has been navigated to, and wherein additional content is determined as relevant based upon a natural language based analysis of the named entities relative to the indicated text content and the named entities relative to a larger corpus of document information or a knowledge repository.