Amazon Technologies, Inc.

Nicholas R Boyd

Srikanth Thirumalai

Jianhui Wu

Embodiments may include, for each item in a subset of items from a larger group of items, evaluating item description information about that item to identify a respective set of candidate phrases to be evaluated. Embodiments may also include, for each phrase in the sets of candidate phrases, generating multiple component scores based on one or more of the frequency with which that phrase occurs in the item description information for the subset of items and/or the frequency with which that phrase occurs in a corpus of item description information for the overall group of items. Embodiments may also include, for each phrase in the sets of candidate phrases, generating a respective phrase score based on the component scores generated for that phrase. Embodiments may include, based on phrase scores, selecting a subset of phrases from the sets of candidate phrases as being feature phrases for the subset of items.

Growing community of inventors

Berkeley, CA, United States of America

Nicholas R Boyd