Volvo Car Corporation

Aykut Yararbas

Jon Seneger

Sohini Roy Chowdhury

Joakim Soderberg

Amir Karim Esfahani

Heuristic evaluation systems and methods for spatial information deliverability for electric vehicle (EV) owners who are traveling and looking for charging location suggestions via their navigation systems, mobile applications, and/or the like. Suggestions are captured based on prior knowledge and user desires. In general, the system knows that a user is traveling from point A to point B and has a suggested optimal distance and/or time and/or cost to reach point B. The systems gathers information related to the traveler's desires in relation to lesser known dimensions, to enhance the overall quality of the travel and charging experience.

Heuristic evaluation systems and methods for spatial information deliverability

A method and system operable for: receiving a search query including search terms; using a machine learning module, selecting features of the search terms and mapping an association between the search terms and a domain object, thereby generating a domain object classification; tagging the domain object with the domain object classification; and using the domain object tagged with the domain object classification to conduct a subsequent search. Conducting the subsequent search includes: receiving a subsequent search query including subsequent search terms; tokenizing the subsequent search terms; finding permutations of the tokenized subsequent search terms; matching the subsequent search terms to the domain object tagged with the domain object classification; and displaying subsequent search results via a user interface.

Computerized smart inventory search methods and systems using classification and tagging

Systems and techniques that facilitate keyword-object taxonomy generation and utilization are provided. In various embodiments, a system can comprise a receiver component that can access an input object class. In various aspects, the system can comprise a taxonomy component that can output one or more keyword combinations that are non-redundant and relevant to the input object class, based on querying a keyword-object taxonomy. In various instances, the receiver component can access (and/or be provided with an electronic link to) a set of recorded keyword combinations and a set of recorded object classes respectively corresponding to the set of keyword combinations. In various cases, the taxonomy component can generate the keyword-object taxonomy based on the set of recorded keyword combinations and the set of recorded object classes.

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Cupertino, CA, United States of America

Aykut Yararbas