JP2019530385A - 受動的な訪問検知 - Google Patents
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Abstract
Description
本出願は、2017年9月15日にPCT国際特許出願として出願されているものであり、2017年9月14日に出願された米国特許出願第15/704,899号に対する優先権を主張するものであり、その出願は、2016年9月16日に出願された米国仮出願第62/395,827号に対する優先権を主張するものであり、それらの開示は、それらの全体が参照によって本明細書に組み込まれている。
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102 クライアントデバイス
104 分散型ネットワーク
106 訪問分析システム
108 ストレージ
200 入力処理デバイス
202 収集エンジン
204 処理エンジン
206 データ分析エンジン
208 観察エンジン
300 方法
400 動作環境
402 処理ユニット
404 メモリ
408 取り外し可能なストレージデバイス
410 取り外し不能なストレージデバイス
412 通信接続
414 入力デバイス
416 出力デバイス
Claims (20)
前記1つまたは複数のプロセッサのうちの少なくとも1つに結合されているメモリと
を含むシステムであって、前記メモリがコンピュータ実行可能命令を含み、前記コンピュータ実行可能命令が、前記少なくとも1つのプロセッサによって実行されたときに、受動的な訪問検知のための方法を実行し、前記方法が、
モバイルデバイスに関するセンサデータを受信するステップであって、前記センサデータが、少なくとも、前記モバイルデバイスに関する移動データおよび現場に関するネットワークデータを含む、ステップと、
前記センサデータを処理して、特徴セットを識別するステップと、
前記特徴セットを評価して、訪問イベントが発生したかどうかを特定するステップとを含む、システム。
前記モバイルデバイスによって、前記センサデータに対応する1つまたは複数のイベントを検知するステップであって、前記1つまたは複数のイベントが、移動イベント、購入イベント、情報配信イベント、および現場チェックインイベントのうちの少なくとも1つに対応する、ステップと、
前記1つまたは複数のイベントを前記1つまたは複数の特徴に相関付けるステップとをさらに含む、請求項1に記載のシステム。
前記センサデータを解析して、前記1つまたは複数のWi-Fi信号強度を識別するステップと、
統計モデルを使用して、前記識別された1つまたは複数のWi-Fi信号強度を評価するステップと、
前記統計モデルによって、前記特徴セットの少なくとも一部分を生成するステップとを含む、請求項1に記載のシステム。
第1の時間においてネットワーク信号の第1のセットを観察するステップと、
第2の時間においてネットワーク信号の第2のセットを観察するステップと、
ネットワーク信号の前記第1のセットをネットワーク信号の前記第2のセットに比較して、前記第1の時間と前記第2の時間との間において前記モバイルデバイスによって進行された推定された距離を特定するステップとを含む、請求項4に記載のシステム。
モバイルデバイスにおいてセンサデータを受信するステップであって、前記センサデータが、前記モバイルデバイスに関するロケーションデータ、前記モバイルデバイスに関する移動データ、および現場に関するネットワークデータのうちの少なくとも1つを含む、ステップと、
前記センサデータをリアルタイムに処理して、前記センサデータに関する特徴セットを生成するステップと、
HMM実施態様を使用して、前記特徴セットを評価して前記モバイルデバイスの訪問状態を特定するステップとを含む方法。
コンピューティングデバイスにおいてセンサデータを受信するステップであって、前記センサデータが、モバイルデバイスに関するロケーションデータ、前記モバイルデバイスに関する移動データ、および現場に関するネットワークデータのうちの少なくとも1つを含む、ステップと、
前記センサデータを処理して、前記センサデータに関する特徴セットを生成するステップと、
前記特徴セットを使用して、前記モバイルデバイスの1つまたは複数の訪問状態を検知するように予測モデルをトレーニングするステップとを含む方法。
Applications Claiming Priority (5)
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US201662395827P | 2016-09-16 | 2016-09-16 | |
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US15/704,899 | 2017-09-14 | ||
US15/704,899 US11017325B2 (en) | 2016-09-16 | 2017-09-14 | Passive visit detection |
PCT/US2017/051879 WO2018053330A1 (en) | 2016-09-16 | 2017-09-15 | Passive visit detection |
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JP2019530385A true JP2019530385A (ja) | 2019-10-17 |
JP7101680B2 JP7101680B2 (ja) | 2022-07-15 |
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JP2019536471A Active JP7032408B2 (ja) | 2016-09-16 | 2017-09-14 | 現場検知 |
JP2019536475A Active JP7101680B2 (ja) | 2016-09-16 | 2017-09-15 | 受動的な訪問検知 |
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EP (2) | EP3513579A4 (ja) |
JP (2) | JP7032408B2 (ja) |
KR (2) | KR102435712B1 (ja) |
WO (2) | WO2018053133A1 (ja) |
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US20210350286A1 (en) | 2021-11-11 |
KR102435712B1 (ko) | 2022-08-25 |
JP2019537394A (ja) | 2019-12-19 |
WO2018053330A1 (en) | 2018-03-22 |
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