Searchmetrics Gmbh

Searchmetric Gmbh

Marcus Tober

Fang Xu

Stephan Sommer-Schulz

Abhishek Thakur

Isabeau Premont-Schwarz

Christian Lange

Alexander Kagoshima

Ahmet Anil Pala

Isabeau Prémont-Schwarz

Paul Schütte

Jens Ulrich

The present invention generally relates to a method for summarizing content related to a keyword, the content being retrieved from online websites, the method comprising the steps of: searching () the keyword with at least one search engine, thereby obtaining ranked result webpages, deriving () sentences from a predetermined number of highest ranking webpages, among the ranked result webpages, combining () the sentences, thereby obtaining a combined content, ranking () the combined content, thereby obtaining a ranked content, outputting () a predetermined number of highest ranking sentences from the ranked content as summary of the keyword.

Method for summarizing multimodal content from webpages

The present teachings generally relate to a method for extracting one or more matched entries from a first database using a second database, including the steps of: identifying a plurality of second entities from the second database by filtering a plurality of entities of the second database according to one or more identification rules; inputting at least one keyword as a query to extract the one or more matched entries from the first database; linking the at least one keyword to one or more second entities according to one or more linking rules to define one or more linked second entities; matching the one or more linked second entities to one or more entries in the first database according to one or more matching rules to define the one or more matched entries; and extracting the one or more matched entries from the first database.

Method for extracting entries from a database

Methods and processes evaluate a quality score of a text. The text includes a plurality of words. The methods compute first probability characteristics of groups of words in a reference text which is known to be a high-quality text. The methods also compute second probability characteristics of groups of words in a text to be scored. The methods also compute the quality score based on a difference between the first probability characteristics and the second probability characteristics.

Text quality evaluation methods and processes

Some embodiments include a system. The system comprises an input device, an output device, one or more processing modules, and one or more non-transitory memory storage modules storing computer instructions. The non-transitory memory storage module(s) are configured to run on the processing module(s) and perform acts of: receiving a search query; and responsive to receiving the search query: identifying a restricted group of questions, the questions of the restricted group of questions being relevant to the search query; transforming the restricted group of questions into a first group of questions and a second group of questions, the questions of the restricted group of questions comprising the questions of the first group of questions and the questions of the second group of questions; and communicating to a user the first group of questions and the second group of questions. Other embodiments of related systems and methods are also provided.

Computer systems to outline search content and related methods therefor

Some embodiments include a system. The system comprises an input device, an output device, one or more processing modules, and one or more non-transitory memory storage modules storing computer instructions. The computer instructions are configured to run on the processing module(s) and perform the acts of: identifying at least one test web page; and analyzing a first test web page of the at least one test web page. The analyzing the first test web page of the at least one test web page comprises crawling the first test web page to detect a first adverse performance condition of the first test web page, and the first adverse performance condition can impact a first search rank assigned to the first test web page when present. Other embodiments of related systems and methods are also provided.

Computer systems to monitor one or more networked electronic resources for one or more adverse performance conditions and related methods therefor

A computer-implemented method of classifying a keyword in a network comprises: identifying a plurality of candidate categories, comprising: converting a plurality of search results related to the keyword into a plurality of search vectors, wherein each of the plurality of search results indicates a related resource in the network; converting a plurality of resources into a plurality of category vectors, wherein each of the plurality of resources is classified in one or more categories of a set of categories; and determining, for the plurality of category vectors, a plurality of similarity values indicating similarity to the plurality of search vectors; processing the plurality of candidate categories; and classifying the keyword by selecting the candidate category having a highest similarity value within the plurality of similarity values, a corresponding system, computing device and non-transitory computer-readable storage medium.

Classification of keywords

A computer-implemented method of classifying a search query in a network comprises: classifying a plurality of search queries into categories, comprising: applying predetermined rules to each of the plurality of search queries, wherein the predetermined rules are indicative of the categories and each of the plurality of search queries is associated with search results in the network; determining, for each of the plurality of search queries, similarity values indicating similarity to each of the categories based on the applied predetermined rules; and training a machine learning module, comprising: applying the machine learning module to a plurality of training sets to a plurality of training sets, wherein each of the plurality of training sets is based on one of the plurality of classified search queries and at least one of the respective one or more similarity values, a corresponding system, computing device and non-transitory computer-readable storage medium.

Classification of search queries

Some embodiments include a system. The system can include an input device, an output device, one or more processors, and one or more non-transitory memory storage devices storing computer instructions configured to run on the one or more processors and perform acts including: receiving a primary user search query; constructing a graphical visualization having multiple nodes and one or more edge connectors connecting one or more primary node pairs of the multiple nodes; and presenting the graphical visualization at an electronic display. The multiple nodes can include a first node associated with the primary user search query and one or more second nodes associated with one or more primary filtered search queries of multiple leading search queries related to the primary user search query. Other embodiments of related systems and methods are also provided.

Growing community of inventors

Berlin, Germany

Marcus Tober