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公开(公告)号:US10402871B2
公开(公告)日:2019-09-03
申请号:US15214761
申请日:2016-07-20
Applicant: Amazon Technologies, Inc.
Inventor: Olga I. Kuznetsova , Logan Luyet Dillard , Jason Roselander , Terrence R. Nightingale , Brandon W. Porter
IPC: G06F16/33 , G06F16/34 , G06Q30/02 , G06F16/9535
Abstract: Disclosed are various embodiments for extracting an excerpt from a representative review of an item, such as an item available for purchase in an electronic commerce system. Attributes or categories used in reviews of an item may be identified and ranked according to consumer preference. Upon ranking the categories, an excerpt may be extracted from a review corresponding to a ranked one of the attributes or categories. The excerpt may be identified and extracted if a number of reviews for an item exceeds a threshold quantity as it may be impractical for a user to read every review written about the item.
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公开(公告)号:US10134075B1
公开(公告)日:2018-11-20
申请号:US14021918
申请日:2013-09-09
Applicant: Amazon Technologies, Inc.
Inventor: Sameer R. Rajyaguru , Terrence R. Nightingale , Marvin M. Theimer
Abstract: Comparative decision systems and methods are disclosed for gathering and mining data representative of purchase decisions. One disclosed comparative decision system detects when a user is comparing items and provides the user with the ability to create a research note storing comparative information for the alternative items. The system displays information about items according to a variety of factors. The user can customize the factors and enter information for each alternative item according to the various factors. Some information may be pre-populated by the system. The research note may be made visible to other users, and may be suggested to another user based on the note's expected helpfulness and relevance to that user. One disclosed method for mining data stored within research notes identifies which factors are given higher relative priorities by users considering a purchase. Another mining method analyzes the effects of price changes on item popularity.
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公开(公告)号:US09633388B2
公开(公告)日:2017-04-25
申请号:US14052165
申请日:2013-10-11
Applicant: AMAZON TECHNOLOGIES, INC.
Inventor: James G. Robinson , Terrence R. Nightingale , Scott Allen Mongrain
CPC classification number: G06Q30/0631 , G06Q30/0201 , G06Q30/0203 , G06Q30/0255 , G06Q30/06
Abstract: A computing system for searching for and identifying data repository deficits includes an interactive database of items, a data repository that stores a first type of information related to items, a search engine configured to identify items that do not have an amount of the first type of information that meets a first threshold, a candidate selection interface that provides functionality for the user to select an item from recommended candidate items needing the first type of information, a user interface via which the user can provide the first type of information for an item selected by the user, a game system configured to calculate for a game scores and rankings based at least in part on data stored in the data repository.
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