Abstract: Techniques are provided herein for utilizing a query variations engine. An attribute category for a search query may be identified from a search query history. A search query may be received from a user and a set of search results may be determined. A reduced set of search results may be generated from the set of search results based at least in part on the attribute category identified from the search query history. The user may be provided with the reduced set of search results.

Abstract: Technologies are disclosed herein for generating and utilizing machine-learning generated classifiers configured to identify document relationships. Manually-generated data is captured that indicates if documents in a document corpus have a relationship with one another, such as duplicates or variations. A determination may then be made as to whether a classifier is to be generated based on the duplicate decision data. If a classifier is to be generated, machine learning may be performed using training documents from the document corpus and the duplicate decision data to generate a classifier. The machine-learning generated classifier may then be utilized in a production environment to determine whether a new document is a duplicate of documents in the document corpus and/or to identify other relationships between documents in the document corpus, such as documents that are similar or are variations of one another.

Abstract: Embodiments of a distributed network system that implements a user-generated preferences (UGP) method to obtain meaningful data regarding user choices and profile data are described. The UGP process is implemented as an interactive application used to understand and segment internet users through graphical question and answer methodology. Over time as internet users participate and interact with the application more preferences are discovered which creates a silo, or profile, of information unique to each user. The interactive question and answer structure is directed to consumer users who are accessing specific websites or browsing the Internet. The UGP process provides the ability for a content provider to engage the user at several different times during the web browsing session, each in a slightly different way, but each in an equivalently engaging way.