TWI393013B - 社交網路關係之辨識與應用 - Google Patents
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Description
本發明關於Web應用社交網路,特別地係,關於聚集來自多個不同來源的社交網路資料之技術。
許多全球資訊網的使用者係為多個網路的使用者之成員,每一成員基本上是受到對其資料進行互斥控制的服務提供者所控制,該資料包括代表成員之間連接的資料。這類網路的範例包括例如Yahoo!®、Facebook、MySpace、Flickr、LinkedIn、Twitter等。在此情況,基本上具有代表特定使用者的社交網路的相當大量資料,這些資料對不同服務提供者之每一者係不明顯或無法取得。結果,使用者或服務提供者不能夠有效利用使用者社交連線之全部潛力。
根據本發明,提供個人的社交關係可辨識及用來支援各類型功能性的技術。根據一特定具體實施例,方法及裝置係提供用於辨識在藉由第一實體控制的第一網路情境中操作的第一使用者的社交關係。第一使用者的身份識別之產生是與關於第一網路情境的第一資料來源有關且在第一實體的控制下,與該第一網路情境外的至少一外部資料來源且不在該第一實體的控制下。具有與第一使用者關係的複數個聯繫人之辨識係與該第一資料來源、該至少一外部資料來源與該第一使用者的身份識別有關。該等聯繫的最初一些者不能夠從第一資料來源辨識。相關性測定係針對該等聯絡人之每一者加以決定,其係代表第一使用者與聯絡人之間關係的關聯性。每一聯絡人的相關性測度之決定係與一或多個第一資料來源或至少一外部資料來源有關。
根據另一特定具體實施例,方法及裝置之提供係用於辨識在藉由第一實體控制的第一網路情境中操作的第一使用者的社交關係。具有與第一使用者關係的複數個聯絡人係提供給第一使用者。複數個聯絡人之決定係關於與第一網路情境的第一資料來源有關且在第一實體的控制下、第一網路情境外的至少一外部資料來源且不在該第一實體的控制下、與該第一使用者的身份識別。身份識別之決定係與該第一資料來源與該至少一外部資料來源有關。該等聯絡人的最初一些者係不能夠從第一資料來源辨識。複數個聯絡人係根據與該等聯絡人之每一者有關的相關性測度加以提供,該相關性測度係代表第一使用者與相關聯絡人之間關係的關聯性。每一聯絡人的相關性測度之決定係與一或多個第一資料來源或至少一外部資料來源有關。
根據一些具體實施例,允許聚合跨多個情境的行動力。根據進一步具體實施例,每一外部資料來源係使用一權限模型,用於控制與外部資料來源有關的資訊存取。各種外部資料來源的權限模型可聚合,藉此根據其對應的權限模型,以允許存取與每一外部資料來源有關的資訊。
本發明的本質與效益的進一步瞭解可藉由參考規格書與圖式之其餘部分而瞭解。
現將詳細說明關於本發明之特定具體實施例,包括發明者實現本發明所考慮的最佳模式。這些特定具體實施例的範例是在附圖說明。雖然本發明是連同這些特定具體實施例描述,但是應該瞭解本發明並未侷限於描述的具體實施例。相反地係,涵蓋本發明的精神與範疇中包括的替代、修改與等效物。在下列描述中,特定細節係加以說明以提供對本發明的完全瞭解。本發明可在沒有部分或全部這些特定細節下加以實施。此外,熟知的特徵並不詳細描述以避免不必要地使本發明失焦。
根據本發明之各種不同具體實施例,方法及裝置的提供在操作上可偵測在多個網路或通訊頻道(例如社交網路、入口網站、通頻或通訊系統等)上的特定使用者之顯著與潛在社交關係二者。這些社交關係然後能夠以多種方式用來支援及/或強化廣泛的使用者服務。
顯著關係可例如藉由使用者和有關其他使用者(例如,在通訊錄、聯絡人清單、好友清單等中)的身份識別、或辨識標記之間的明確連接加以表示。潛在關係通常是較無明確,並例如藉由通訊模式或共同朋友連接加以表示。本發明的具體實施例係有效利用潛在與顯著社交關係二者,並表示從「網路為中心」或「頻道為中心」移至可在多個社交網路、與通訊和行動力頻道上作用的「以人為中心」模型。如之後所討論,各種不同類型潛在與顯著社交關係能夠以各種方式偵測。
此外,本發明的具體實施例允許從各種來源聚集行動力。行動力是指對應至一特別個人,或個人群組的事件或動作(例如,內容發行、狀態改變、應用程式的安裝與使用等),例如,使用者的聯絡人在Web上正從事的事情。行動力可與通訊類型連接區別,例如,電子郵件明確地定義擁有權限讀取該電子郵件的一群接收者。相反地,行動力係基於使用者動作的通訊傳播形式,其具有社交關係圖所定義的一組隱性接收者。此社交關係圖可根據分類標籤例如「朋友」、「家庭」、「學校」、「工作」、及/或許多其他群組或以組織為主之關係加以標示及/或細分。
如此,個人的行動力之「接收者」為演繹式定義,所以當行動力發生時,接收者基本上可接收內容發行的通知,其中接收者擁有隱性權限來耗用內容。允許行動力聚合的本發明之具體實施例讓使用者可藉由有效利用各種網路及/或頻道之現有權限與隱私模型來存取、聚合、及顯示行動力,以在網路及/或通訊頻道上檢視有關其聯絡人的行動力事件(例如,狀態文字更新、圖像上傳、應用程式安裝等)。
範例係具指導性的。兩位使用者可能明確連上Yahoo!網路,在於這些使用者使用Yahoo!郵件彼此寄送電子郵件。相同的兩使用者可能亦擁有數個其他連接,例如Flickr contacts、Facebook friends、Twitter followers、LinkedIn connections等,其中部分連接可為顯著特徵,某些部分連接可為潛在特徵。當兩位使用者之一者起始Connections Activator(例如,使用在第一圖中的「Simplify Your Inbox!」按鈕)時,Connections Activator會先決定誰是起始的使用者。根據一組具體實施例,此可藉由搜尋目前網路情境,例如Yahoo!網路(且特別係利用Yahoo!網路上的使用者登入身份識別)、以及可能地有效利用更廣泛Web情境(可能地係,一些指定組的網路或Web屬性);及收集可辨識使用者的資料,例如使用者設定檔、頁面;及在目前與其他網路等上產生的行動力予以完成;任何資訊標記可用來辨識使用者。
使用者的身份識別亦可至少部份藉由從使用者本身請求輸入予以決定。此可包括要求使用者明確地辨識其他網路、目前網路中的其他屬性、或使用者所屬或使用者以一些方式所表示的其他系統。各種不同資料然後合併成使用者的表示。此可呈現給使用者,如同例如在第二圖中的Yahoo!Mail介面所示。
一旦已辨識使用者,可開始下一活動階段(例如,使用在第二圖中的「Activate your network」按鈕),其中Connections Activator係搜尋及收集與使用者互動的其他人有關的資料(在目前網路、在目前網路上的其他屬性、其他網路或Web系統等)。這些其他個人可例如從使用者的通訊模式;和目前情境及其他網路、通訊錄、聯絡人清單中的使用者之關係;使用者所耗用的行動力等予以辨識。這些資料然後合併成代表和使用者擁有關係的人。
在一些情況中,需要決定不同網路中的身份識別或辨識標記是否對應至相同的人,若確證,這些身份識別是否應該合併成代表單一個人或「重複排除」。此可能例如在一人於不同網路中使用不同名稱的情況中發生。合併可為自動、手動(例如,藉由使用者的輸入)或半自動,其中系統與使用者可在重複排除處理程序中交錯動作,以在處理程序中有效利用來自彼此的回應。此重複排除可藉由比較身份識別標記(例如名稱、電子郵件地址、電話號碼等)加以達成。
根據各種不同具體實施例,資料收集可使用各種技術完成。例如,目前網路中的資料儲存庫具有關於使用者的使用者設定檔,而另一資料儲存庫具有名字、姓氏與電子郵件地址。另一網路中的資料儲存庫可能具有該聯絡人的名字與姓氏和其他資訊,例如電話號碼或網頁URL。然而,其他網路中的另一資料儲存庫可能具有關於使用者自己的額外資訊。關於使用者的每一額外資訊或標記可加至使用者的身份識別,並用來辨識關於使用者的其他相關資訊及其與他人的關係。同樣地,關於其他使用者的每一額外資訊或標記可用來增加其相對的身份識別及通告建構連接其與使用者的社交圖。
擷取此資料之方法亦可改變,此係相當取決於各種因素。例如,目前網路情境之營運商顯然具有對有關此網路的資料儲存庫之直接及一致性存取。然而,存取其他網路上的資訊之本質可改變,此係明顯取決於其他網路營運商的網路及/或開放性之間的關係。在一些情況中,和另一網路的營運商的商業關係可提供直接存取網路的資料,或提供一些更限制存取網路的位準,例如API位準存取。在其他環境中,例如,在沒有關係存在,可能需要使用例如螢幕抓取、影像辨識、及相反光學字元辨識的技術。這些方法的組合亦可應用。
根據一些具體實施例,具有和特定使用者關係的個人的優先化、排名、或排序是與使用者的聯絡人的相關性有關,例如關係的緊密性或強度、關係的類型、或個人所屬的群組。這些的決定是與各種資訊有關,包括例如在個人之間通訊的最新發生、頻率、數量及/或週期性、不同網路或屬性中的連接數目、使用者連接的網路類型、關係的類型(參見下面)等。
一旦發現到關係(及可歸類及/或合併),該關係亦可確認。此包括明確邀請來確認傳送給使用者及/或在關係中另一人的關係。在一範例中,此可採用和使用者具有關係(可如同上述加以儲存)的一連串人之形式,其中關係傳回給使用者供每一者的確認(參見第三圖)。根據一些具體實施例,該等關係的知識可在沒有確認下予以利用。
根據一些具體實施例,Connections Activator係利用關於人(這些人是對應至偵測的關係及其的互動)的各種資訊,以決定其是否具有給定類型的關係。此資料可包括例如人之間通訊的本質與內容、其擁有彼此與在其他網路(例如,MySpace、Facebook、LinkedIn)上的其他使用者的關係、人口統計資訊等。例如,偵測的關係可基於來自靜態資料(例如,聯絡人資訊)、以及動態資料(例如,通訊模式)的推論加以歸類為家庭、朋友、相識者、企業夥伴等。
根據各種具體實施例,Connections Activator係藉由在其他網路中挖掘關於其現存關係與通訊模式的資料,以在人類之間建立關係的隱性社區模型。此模型在一些具體實施例中,其係由與特定使用者有關的一堆疊排名或分群組的人類所表示,然後可用於各種目的。
例如,此關係的知識可用來聚合行動力。即是,藉由辨識在其他網路中的關係,及藉由決定多個身份識別是否對應至相同的個人,本發明的具體實施例可用來在多個網路上聚合由特定個人所產生的行動力。在其情況,這是與目前事態成對比,以在不同網路中耗用由其朋友所產生的行動力,使用者必須要通過所有不同網路。
根據特定具體實施例,有關行動力的各種來源的權限模型聚合係允許行動力的聚合。即是,行動力的來源(例如社交網路)係使用不同模型,用於允許或限制存取其使用者的內容與資訊。部分係使用相當開放的模型,其中所有或多數成員具有對其他網路成員的一些或全部內容與資訊的存取。一些係使用更多限制的模型,其中成員可限制對明確辨識個人、群組或關係類型的存取。根據與網路或系統之每一者有關的權限模型,當使用者提供Connections Activator有關與使用者互動的網路或系統之每一者的必要資訊時,Connections Activator可獲得對這些網路與系統、與在這些網路與系統中內容與資訊的存取。然後應該明白,同使用者在一情境中具有聯絡人的個人係與在另一情境中的身份識別相同的人,Connections Activator可聚合關於使用者個人之行動力,而不管在不同情境中權限模型可能根本不同的事實。因此,根據特定具體實施例,本發明所啟用的Connections Activator在許多不同情境中可提供對內容與資訊的單一存取控制,而維持每一者的權限模型。
根據一些具體實施例,關於社交連接與關係的資訊可用來在網路上加權其他類型的行為。即是,瞭解誰和使用者有關聯,且亦可能是關係的本質與強度,可允許有各種功能性。
例如,此資訊可用來排序、篩選、或強調在內送信箱中的訊息,例如,從和使用者最常通訊的人至和使用者最少通訊的人,依序顯示電子郵件或其他通訊類型(例如,語音郵件、SMS、IM訊息等)。在另一範例中,送入的訊息可基於關係的緊密及/或類型而可指定各種優先位準,以致於一些訊息可到達,而其他不能夠,或只有在指定優先位準以上的訊息能夠產生警示或鈴聲。在仍然另一範例中,來自高優先聯絡人的電子郵件訊息可在歡迎頁面標籤上顯示給使用者,而不必從電子郵件內送信箱獲得這些訊息。
在仍然另一範例中,使用者所耗用的內容之篩選或選擇是與此資料有關。例如,由和使用者具有關係緊密及/或特殊類型的其他使用者目前或最近所耗用的即時新聞(News Feeds)能夠以此方式選擇。
在進一步範例中,一通訊錄自動完成功能會擴大,以將傳回的聯絡人針對通訊的最新發生、頻率及/或數量、及/或社交關係之緊密度及/或類型進行排序。即是,例如,若使用者具有取名為「Joe」的五位聯絡人,則在回應接收欄位中輸入「Joe」所傳回的第一聯絡人將會是與使用者最時常通訊的一者,而不是按開頭字母順序排在最前面之一者。
在仍然另一範例中,使用者的社交網路可用來對使用者進行建議,作為使用者想要起始的連接。例如,若使用者是在另一使用者的LinkedIn網路中,第一使用者可能想要邀請第二使用者在類似Facebook或MySpace的社交網路中進行連接,或在類似Yahoo!Messenger的通訊系統中變成聯絡人。
連接的順序、優先權或排列亦能夠以多種方式加以表示或使用,此係取決於特定的應用。其能夠以後端處理程序所使用的簡單堆疊排名或線性清單加以顯示。或者,各種視覺顯示可用來辨識各種連接所屬的不同群組,例如,從特定使用者的觀點指出群組的相關重要性。
在Yahoo!Mail的最初情境的另一使用案例是具指導性的。在此範例中,使用者可登入及提供其電子郵件地址。藉由其郵件信箱的內容所決定的使用者聯絡人之排名清單係可決定及傳回。在第二階段中,使用者係連續地提供其Yahoo!Address Book登入、其Twitter 登入,存取其Facebook帳戶及存取其Flickr帳戶。當增加每個帳戶時,在較早版本清單中的連接排列變化是基於在使用者上置中的展開社交圖而受影響,並由從各種網路所累積的資料進行通知。
此流程的範例是在第五圖至第十八圖的螢幕畫面中說明。第五圖至第八圖係顯示來源使用者選擇其Yahoo!Address Book作為第一資料來源,並提供對應的登入名稱與密碼以開始連接活動處理程序之螢幕。此造成根據如第九圖所示Yahoo!網路中可用的資料排列的聯絡人清單。每一聯絡人登錄具有將來源指為Yahoo!的相關資料。這些資料能夠以鏈結加以具體實施,以提供可存取其所取得的原始資料或來源。他們亦可起始一些動作,例如,開啟通訊介面以與聯絡人進行溝通。他們亦能夠以與相關聯絡人所產生行動力的鏈結表示提供服務。
來源使用者然後將Facebook選擇作為額外資料來源(第十圖),在回應此動作,更新的聯絡人清單會如第十一圖所示加以顯示。在此情況中,登錄在從Facebook取得的新資訊檢視中已進行不同地排名,以及使用指出Facebook作為來源的每一登錄的資料予以擴大。類似更新發生是與Flickr(第十二圖與第十三圖)有關,且然後與Twitter(第十四圖與第十五圖)有關。如此,來源使用者在各種網路及/或通訊頻道中可「宣告」成員資格,且系統一起鏈結這些來源使用者的各種身份識別標記,藉此能夠聚合及/或合併來自各種情境的來源使用者的聯絡人、這些聯絡人的分組及/或排名,以及行動力的聚合及通訊的其他形式。
第十六圖、第十七圖、與第十八圖係顯示來源使用者在聯絡人清單中利用不同篩選位準的效果(即是,從「無」至「低」至「中」至「高」),其具有減少清單中聯絡人數量的效果。如在此所述,此篩選的達成係與來源使用者和每一聯絡人之間的關係及/或通訊活動之緊密度或強度有關。
根據本發明的各種不同具體實施例,連接啟動可在各種情境中發生。一範例是在上面討論,其中使用者在Yahoo!Mail的情境中起始Connections Activator。然而,應該瞭解,這只是連接啟動可能很有用的一情境。其他範例包括虛擬的任何通訊情境,例如,電子郵件、語音通訊、即時訊息、SMS等。根據一特定具體實施例,可於任何給定通訊頻道決定使用者是否已將Connections Activator用來辨識社交關係,此社交關係可用來強化在此頻道中的服務。再者,在其他通訊頻道及/或網路情境中所辨識的關係可用來「啟動」新的頻道或情境,在不同情境間的關係中可給予實質重疊的高度可能性。因此,例如,若使用者加入新的社交網站,使用本發明有助於在使用者想要連接的網站上進行人辨識的處理,以從可在新的情境中建立的其他情境來辨識關係。
此外,和使用者產生關聯之人的合併身份識別可在使用者的聯絡人資訊或通訊錄中用來「填寫空的欄位」。例如,若使用者的電子郵件通訊錄只有特定聯絡人的電子郵件地址,來自聯絡人的合併身份識別的額外身份識別標記(例如,電話號碼、住址、螢幕名稱等)可用來填寫在通訊錄登錄中的其他欄位。
根據各種具體實施例,Connections Activator使用連接至有關可追蹤內容物件之使用者動作的權重與類型,在人之間建立清楚的連接圖。此連接圖然後在各種情境中可當作篩選器使用,包括例如行動力產生與耗用、通訊、內容耗用、內容轉送等。
從一組潛在與顯著關係,Connections Activator可建立顯著的關係圖,並反覆地隨時對其進行改良及改善,以發展誰是使用者、使用者連接到誰、使用者與這些連接產生關聯的方式、及有關這些關係的交易類型之模型。
本發明的具體實施例可在各種計算情境之任一者中用來辨識及利用社交關係與相關資料。例如,如第四圖所示,可考慮一些實施,其中相關使用人口可經由任何類型的電腦(例如,桌上型、膝上型、平板型等)402、媒體計算平台403(例如,電纜與衛星機上盒與數位錄影機)、手持式計算裝置(例如,PDA)404、行動電話406或任何其他類型的計算或通訊平台而與不同網路環境進行互動。
而且,根據各種具體實施例,根據本發明處理的使用者資料可使用各種技術加以收集。例如,代表使用者與網站或以Web為主之應用程式或服務(例如,頁檢視數目)互動之資料收集可使用供記錄使用者線上行為的各種熟知機構之任一者加以完成。使用者資料可直接或間接挖掘,或從與網際網路上的任何網路或通訊系統有關的資料集加以推測。而且,儘管這些範例,但是應該瞭解,此資料收集的方法只是範例,且使用者資料能夠以許多方式加以收集。
一旦收集,使用者資料能夠以一些集中方式加以處理。這在第四圖中是藉由伺服器408與資料儲存裝置410表示,應當理解,其可對應至多重分散式裝置與資料儲存裝置。本發明亦可在各種網路環境中實施,包括例如以TCP/IP為主之網路、電訊網路、無線網路等。連接資料可根據本發明加以聚合的這些網路、以及各種社交網站與通訊系統是以網路412表示。
此外,實施本發明具體實施例的電腦程式指令可儲存在任何類型的電腦可讀媒體,並可根據各種電腦模型加以執行,包括客戶端/伺服器模型、一對等模型、在一單機計算裝置、或根據一分散式計算模型,其中在此描述的各種功能性可在不同位置達成或應用。
在Yahoo!網路情境中的範例實施的一些特徵現將描述。下述的至少一些特徵與功能性可從參考上述第五圖至第十八圖、以及第十九圖與第二十圖而瞭解。根據此實施,可挖掘Yahoo!網路上的使用者資料以提供相關的服務,例如,對其他使用者進行建議,其中使用者可能有興趣於連接,或提供容易方法,基於其聚合的聯絡人清單以植入使用者的通訊錄。此實施係利用在Yahoo!以及在Yahoo!網路之外的多個地方中使用者擁有的豐富資料。
如上述,即使是不同來源,此實施的Connections Activator操作上是排除重複聯絡人的資料。指出相同人的獨特識別碼之範例為電子郵件地址、行動電話號碼、住家電話號碼與名字加姓氏。由於多數使用者的清單是相當小,所以錯誤的風險是可接受且使用者可容易修正。
在決定每一關係的排名中,每一關係的各種態樣可能給予不同權重。例如,雙向關係可給予比單向關係更高的權重。具類似屬性的聯絡人(例如,相同姓氏、大學名稱等)亦可為更大的權重。此外,若使用者通訊錄中的身份識別標記(例如,電子郵件身份或行動電話號碼)屬於網路中的已知使用者,則已知使用者的資料可用來合併該使用者的其他識別碼。
該目標是要產生聯絡人清單,其中可能直接獲得聯絡人(例如,從使用者的通訊錄,Yahoo!Messenger好友清單等),但是亦挖掘其他來源以擴大聯絡人清單,例如使用者的電子郵件儲存裝置以及外部來源。這些聚集的資料係藉由提供較稀罕資料有較高權重而正常化。例如,若某人正使用通訊錄,他們將可能擁有所有其聯絡人的所有行動電話號碼欄位,因此,對於此使用者而言,有關行動電話號碼的權重可降低。
權重可以全域位準加以定義,但是在一些情況中,讓不同組的使用者反映其特定需要的不同主張會是明智的。例如,在一些新興市場中,行動電話比陸上線路更受歡迎,如此,在這類市場中的行動電話號碼的權重不再強調。根據一特定具體實施例,加權的屬性是在捲動軸控制(或等效物)上連同預設權重一起提供給使用者。使用者然後在附近移動捲動軸,並改變權重,且聯絡人清單會以新的權重加以重新整理。當使用者完成時,這些權重可如使用者特有的值加以儲存。
機器學習可合併在使用者水準與系統水準之任一者或二者。例如,系統可組態成基於使用者可接受或拒絕之聯絡人;及使用者可接受、重新命名或變更之種類加以學習。
建議的每一聯絡可包括摘要資訊(例如,從所有來源合併)與控制以採取與每一者有關的動作(例如,「Invite」、「Reject」、或「Later」按鈕)。允許使用者接受全部、拒絕全部、及其間的客製化。「Invite」按鈕係觸發邀請流程。「Reject」按鈕會造成聯絡人排除顯示作為未來的建議。「Later」按鈕讓聯絡人可再次建議(假設其符合標準關聯準則)。
Connections Activator的實施可週期性執行(使用可組態的時段),從Yahoo!網站線上或離線重新整理資訊及更新相關性。通訊饋送(例如,從郵件提供者與Messenger記錄)可用來改善準確性。
在使用者啟動的匯入、或幕後週期性匯入上,此Connections Activator的實施是從辨識或有關使用者的該組內部及/或外部網路及/或系統取回資料。Connections Activator然後從認證系統要求該適當組的第三方適合性,其係可以或不能夠持續儲存。
對於來源使用者(即是,開始匯入的使用者,其為可從全域唯一識別碼(GUID,”Globally Unique Identifier”)加以辨識)而言,可匯入Yahoo!內部聯絡人,以及使用者已同意匯入的經認可的第三方聯絡人清單。在匯入之後,若使用者已選擇此選項,特定清單可由使用者的通訊錄使用。
Global Contact List為經由GUID辨識的給定來源使用者的聯絡人之排序清單。若多個識別碼存在於該登錄,聯絡人清單中的目標不必然是以GUID為主,每個登錄係包括猜測及/或確認為相同實體的一組識別碼。最好的猜測係套用至非註冊的使用者,以將其從只在來源中使用者的資料中供應的資訊予以重複排除,例如,兩匯入的登錄具有相同的電子郵件地址。藉由辨識無法從最好猜測分析來推測的關係(例如,與電子郵件地址、行動電話號碼、名字、姓氏等),可考慮GUID資料庫來支援重複排除。
匯入操作可重新執行以更新聯絡人清單。若在一些點上,來源使用者決定選擇從特別網路或系統退出,該整合來源的參考會在隨後的匯入上,從全域聯絡人清單移除。
如上述,一組權重係與每一聯絡人有關,並計算該聯絡人的總權重。每個整合來源具有與其有關的正或負權重。一較高正值係表示擁有強烈關係,且負值係表示較弱關係。總權重可藉由加總每一登錄的所有提供權重予以計算。較高的權重係代表來自多個整合來源的登錄,但是每個整合來源可不同地提供權重。
基於重複排除與排名的全域聯絡人清單之建議聯絡人清單會傳回給使用者進行啟動。建議的聯絡人清單可例如藉由從全域聯絡人清單扣除登錄予以取得(其中來源使用者已採取動作),例如已在雙向連接組中的登錄、先前邀請但是拒絕或仍然未決定的登錄、等等。
從建議的聯絡人清單,來源使用者可產生能夠或不能夠在Yahoo!網路中註冊的一組目標的聯繫網。此可例如藉由來源使用者標示與每個登錄有關的核取方塊以表示想要將連接邀請傳送給相關聯絡人(例如,包括鏈結的電子郵件)加以完成。來源使用者表示想要忽略建議連接的機構亦可提供,在此情況,登錄不再會於清單中出現。
連接啟動的另一形式是「聯繫網」啟動,其中單一使用可啟動一互接組聯絡人之社交連接。一聯繫網啟動資料庫係儲存該組目標、以及只認定為在該群組中聯絡人之一者的來源使用者。每個登錄包括3個欄位,即是一聯繫網群組識別、一使用者識別碼(一GUID或一些其他身份標記,例如電子郵件地址)、與動作狀態,該動作狀態係指示「接受」、「拒絕」、或「未決定」。另一表係使聯繫網群組識別與聯繫網群組建立時間產生關聯。在聯繫網的建立上,來源使用者的預設值係處於「接受」狀態。在聯繫網群組中的所有其他聯絡人或使用者最初是處於「未決定」狀態。
當在聯繫網群組中的其他使用者接受邀請時,他們會連接至在已接受及處於「已接受」狀態的群組中之每一者。一接受的使用者係處於與已從聯繫網群組中的每個人(亦接受邀請)接受邀請的使用者之相同狀態,並送出邀請至該群組的其餘成員。當在聯繫網群組中的使用者拒絕邀請時,這些使用者會處於「拒絕」狀態。當在聯繫網群組中的所有使用者處於「接受」或「拒絕」狀態時,完成聯繫網邀請,且然後移除非接受的登錄。
對於處於未決定狀態的聯絡人而言,當這些聯絡人已有一可組態時段處於「未決定」狀態(例如,15天)時,邀請會重新傳送。若所有使用者處於「接受」或「否認」狀態、或處於比另一可組態時段(例如,30天)更長的「未決定」狀態,聯繫網邀請會認為完成。然後移除非接受的登錄。
應該瞭解,各種使用者介面特徵可連同本發明的各種具體實施例一起使用(參見例如第一圖至第三圖、及第五圖至第十八圖的介面)。根據前文中描述的實施及如第十九圖所示,在建議聯絡人清單中所提議連接之每一者係使用一影像、一名字、與一姓氏表示。每個提議連接的詳細檢視亦可提供,其包括其他可用資訊,例如,電子郵件地址、電話號碼、種類、網路合併、與連接對連接等。小圖示亦可提供,以指出聯絡人是否已在特別的社交網路中。當來源使用者正邀請朋友簽署新的社交網路時,此資料會是特定相關的。
指出特定聯絡人的資料來源之小圖示亦包括、以及用於新增或移除來源之機構。例如,如第五圖至第十八圖所示,一下拉式選單可提供以讓來源使用者從可用的來源之中選擇。或者,用來新增或移除來源的頁面可如第二十圖所示加以提供。來源包括Yahoo!網路與在Yahoo!網路中的可能特定屬性、外部來源(例如,其他網路、社交網站、通訊系統等)、以及可存在使用者裝置或遠端儲存的任何通訊錄或聯絡資訊。每一者可連同相關的Logo圖與來源名稱一起顯示。每一來源的詳細檢視可顯示,包括輸入欄位以供來源使用提供任何必要登入或密碼資訊,以便Connections Activator可獲得對額外資訊來源的存取。
根據一具體實施例,控制是與讓使用者影響顯示聯絡人數目的聯絡人清單有關。一範例是在第十九圖顯示,其中提供了捲動軸,其係代表從「Closest」移至「All」的關係緊密性範圍,此會影響篩選基於正常化權重比重所顯示的聯絡人數目。最初,預設的聯絡人數目(例如,50)會與在捲動軸的位置中所反映的預設值一起顯示。
應該注意,來源使用者可從各種點與情境進入Connections Activator流程。例如,來源使用者可能不是Yahoo!網路的成員。在此情況中,在使用者註冊之前,Connections Activator將不能夠從Yahoo!資料庫挖掘關於使用者的現有資料(例如,身份標記)。或者,現有的Yahoo!成員可第一次進入流程或經由補充的註冊處理程序當做重複的使用者。此外,來源使用者可從各種情境進入流程。例如,流程可在Yahoo!Mail中開始。或者,流程可從使用者的Yahoo!360頁面開始。另一替代是可從Yahoo! oneConnect行動電話服務進入流程。流程可甚至從外部網路或系統進入。
根據一具體實施例,一連接啟動流程可甚至由系統本身起始。例如,若在特定使用者與固定群組之間偵測到通訊模式,可提供使用者有能力使用Connections Activator來啟動其在基本上「中樞與軸輻路網」拓撲中的連接(使用者為中樞,軸輻路網係連接使用者至其連接)。或者,使用者可如上述建立聯繫網群組。此聯繫網群組啟動處理程序提供使用者容易方法來與此群組的使用者進行通訊,但是亦將送出邀請至該群組的每一成員,以與該群組的每隔一個成員進行連接(若其未連接)。藉由此群組接受會員身份,使用者同意連接至該群組的每一其他個成員。
根據各種具體實施例,連接的相關性不僅基於其社交本質(即是,「Who」),而且亦基於各種其他特徵,例如,其空間態樣(即是,「Where」)、其時間態樣(「When」)、及/或其主題(即是,「What」)態樣。這些其他空間、時間、與主題態樣的相關性可藉由分析在個別社交、空間、時間、與主題態樣中這些類似性的聯絡人以及模式之中的這些態樣之類似性而加以決定。例如,一些具體實施例可考慮,其操作上係依空間與時間的接近性將聯絡人分群組,即是,目前在使用者的位置附近的聯絡人。空間的資訊的決定係與例如行動裝置、GPS系統等的位置及/或接近資料有關。根據本發明,可加以聚合之時間資訊亦可廣泛地使用在各種系統。關於聯絡人之主題資訊可從多種來源獲得,包括(但未限於)在聯絡人之中的通訊內容、以及在一或多個社交網路服務上的聯絡人的設定檔中所表示之明確設定檔(例如發佈的興趣)。而且,若有與個人和關係有關的各種類型中繼資料的動態本質,用來分組或排名聯絡人的相關性演算法可週期性及/或回應中繼資料的變化以重新計算相關測度。此可能造成更情境地關於使用者的資訊。
具體實施此觀念的實施之範例現將參考第二十一圖至第二十五圖描述。此範例(在圖中是稱為Yahoo! oneConnect)是在行動裝置的情境中實施,且操作上,藉由使用與每一聯絡人有關的聯絡資訊,不僅聚集行動力,而且聚集各種直接通訊形式,例如即時發訊、SMS、電子郵件、語音等。
第二十一圖的螢幕係顯示藉由使用Facebook之使用者的登入資訊,和使用者的Facebook帳戶有關的聯絡人可連同來自其他網路與通訊頻道的這些聯絡人一起聚合之流程(螢幕2102)。而且,一旦聚合使用者的網路及/或頻道,可根據各種綱要提供可用資訊的各種不同檢視。例如,在各種通訊頻道中與使用者的聯絡人之交談可如第二十二圖(A)所示予以顯示。在另一範例中,在各種網路中,使用者的聯絡人的目前狀態可如第二十二圖(B)所示予以顯示。所提供資訊之篩選係與單一聯絡人有關。即是,關於從一些或全部網路及/或通訊頻道聚合的單一聯絡人之行動力及/或事件可藉由選擇聯絡人而於如第二十二圖(C)所示的單一檢視中提供。亦允許使用者在一些或全部網路或通訊頻道中修改其目前狀態,其中其係經由第二十二圖(D)中所述的機構而產生關聯。
第二十三圖說明使用者依篩選及/檢視其聯絡人來選擇群組之流程。如螢幕2302所示,選項可包括使用者自己所定義的群組,以及「Smart groups」,其係對應至系統從其可用的各種資料之任一者所推測的群組。使用者定義的群組可包括例如Friends與Work群組。Smart groups可包括例如一群組,該群組包括如系統所辨識及聚集之所有使用者的聯絡人、使用者持續溝通的最近聯絡人、目前線上的聯絡人、就地理觀點在附近的聯絡人等。
藉由選擇Nearby聯絡人,使用者可從依距離排序及/或如螢幕2304所示的一些可編程臨限距離中的聯絡人來檢視聚合的行動力。亦可提供給使用者關於接近使用者的其他人之資料,但是尚未認為是此使用者的聯絡人。此等個人是可辨識,例如,因為其亦使用oneConnect服務。
附近的聯絡人然後可由使用者以各種方式加以檢視,例如,從進行中的交談(2306)、或各種網路的目前狀態(2308)的觀點。根據一些具體實施例,使用者可從已聚合各種網路及/或通訊頻道之任一者中的其最近活動之觀點來檢視其聯絡人及其行動力,例如在螢幕2310中顯示的「Pulse」。Pulse檢視可指出活動的本質及/或內容、以及情境與發生的時間。在螢幕2310的範例中,活動的本質會改變在Facebook中聯絡人的狀態。
第二十四圖顯示在Pulse檢視中所顯示聯絡人的一些額外範例。第二十四圖(A)的螢幕包括關於使用者的聯絡人之任一者的事件,並依時間排序。第二十四圖(B)的螢幕包括藉由地理接近使用者現在位置所進一步篩選的事件。如圖所示,此事件可包括內容(例如,Flickr相片、社交網路張貼)的張貼、採取的行動(例如,相片貼標籤、評定歌曲、安裝應用程式)、更新設定檔(例如,新增職稱或新的聯絡資料)等。在網路或通訊頻道之任一者中的任何活動可虛擬地呈現。
而且,因為本發明的具體實施例聚集如上述的權限模型,所以可考慮使用者能夠與其為成員的各種網路互動、以及經由使用於單一介面的各種頻道加以通訊的一些實施。此實施的範例是在第二十五圖的流程中說明,其中使用者正在一網路上與聯絡人進行線上通訊交談,並可藉由選擇另一網路以改變交談。
此外,可提供從有關特別網路或通訊頻道的資料推測之活動。例如,因為可知道聯絡人的行動裝置的位置(若允許有適當的權限),所以可表示物質世界中聯絡人的行動(例如,聯絡人從漢堡市旅行至巴賽隆納)。
雖然本發明已特別參考特定具體實施例加以顯示及描述,但是熟諳此項技術人士應該瞭解,揭示具體實施例的形式與細節可改變,不致悖離本發明的精神或範疇。例如,在此各種具體實施例描述參考的上下文與資料來源不應該認為限制本發明的範疇。然而,社交關係可偵測及使用的任何情境、與可支援在此描述基本功能性的任何資料來源是在本發明的範疇內。
此外,雖然本發明的各種不同效益、態樣與目的在此已參考各種具體實施例討論,但是應該瞭解本發明的範疇並未受到這類效益、態樣與目的的限制。然而,本發明的範疇應該由文後申請專利範圍加以決定。
402...電腦
403...媒體計算平台
404...手持式計算裝置
406...行動電話
408...伺服器
410...資料儲存裝置
412...網路
2102...螢幕
2302...螢幕
2304...螢幕
2306...進行中的交談
2308...各種網路的目前狀態
2310...螢幕
第一圖至第三圖為說明根據本發明之特定具體實施例的處理程序流程之螢幕畫面。
第四圖為說明實施本發明之具體實施例的計算情境之簡化網路圖。
第五圖至第十八圖為說明根據本發明之特定具體實施例的處理程序之螢幕畫面。
第十九圖與第二十圖為可與本發明之具體實施例一起使用的介面呈現。
第二十一圖至第二十五圖為說明根據本發明之另一特定具體實施例的處理程序之行動電話螢幕畫面。
402...電腦
403...媒體計算平台
404...手持式計算裝置
406...行動電話
408...伺服器
410...資料儲存裝置
412...網路
Claims (25)
- 一種用於辨識由一第一實體所控制的一第一網路情境中操作的一第一使用者的社交關係之電腦實施方法,其包括:產生關於與該第一網路情境有關且在該第一實體的控制下的第一資料來源之第一使用者的身份識別,及該第一網路情境外且不在該第一實體的控制下的至少一外部資料來源;辨識具有與該第一資料來源、該至少一外部資料來源、與該第一使用者的該身份識別有關的該第一使用者關係之複數個聯絡人,其中該等聯絡人之前幾位無法從該第一資料來源加以辨識;及決定該等聯絡人之每一者的相關性測度,其代表在該第一使用者與該聯絡人之間關係的關聯性,其中每一聯絡人的相關性測度之決定是與一或多個該第一資料來源或該至少一外部資料來源有關。
- 如申請專利範圍第1項之方法,其中產生該第一使用者的該身份識別包括辨識及聚合來自該第一資料來源與該至少一外部資料來源的複數個身份識別標記。
- 如申請專利範圍第1項之方法,其中該第一資料來源與該至少一外部資料來源之每一者係對應至一社交網路系統、一通訊系統、一內容分享系統、或一成員網路之一者。
- 如申請專利範圍第1項之方法,其中辨識該等複數個聯絡人包括參考一通訊錄、一聯絡人清單、一訊息傳送人、一訊息接收人、一內容發行人、一內容訂閱、或社交網路資料之一或多者。
- 如申請專利範圍第1項之方法,其中該相關性測度之決定是與一通訊頻率、一新近的通訊、一通訊量、一通訊週期性、一連接數量、一群成員資格、一人口統計特徵、一名稱、一關係種類、或一地理位置之一或多者有關。
- 如申請專利範圍第1項之方法,其更包括排名有關該等相關性測度的該等複數個聯絡人。
- 如申請專利範圍第1項之方法,其更包括分組有關該等相關性測度的該等複數個聯絡人。
- 如申請專利範圍第1項之方法,其更包括傳送第一邀請,以連接該第一使用者至由該第一使用者所選定的該等聯絡人之子集。
- 如申請專利範圍第1項之方法,其更包括重複辨識該等複數個聯絡人,及決定有關由該第一使用者所辨識的一額外資料來源之該等相關性測度。
- 如申請專利範圍第1項之方法,其更包括決定該等複數個聯絡人之二或多者是否對應至一人,及針對該一人將該等二或多個聯絡人聚合成一單一聯絡人。
- 如申請專利範圍第1項之方法,其更包括聚合在多個情境中由該等聯絡人之一第一者所產生的行動力,供由該第一使用者的耗用。
- 如申請專利範圍第1項之方法,其更包括處理由關於該等相關性測度的該第一使用者所接收的訊息。
- 如申請專利範圍第1項之方法,其中每一外部資料來源係使用一權限模型,用於控制有關該外部資料來源的資訊存取,該方法更包括根據該對應的權限模型,存取有關每一外部資料來源的資訊,藉此聚合與該等外部資料來源有關的該等權限模型。
- 一種用於辨識在藉由一第一實體控制的一第一網路 情境中操作的一第一使用者的社交關係之系統,其包括至少一計算裝置,其組態成:產生關於與該第一網路情境有關且在該第一實體的控制下的一第一資料來源之該第一使用者的身份識別,且至少一外部資料來源來自該第一網路情境外且不在該第一實體的控制下;辨識有關於該第一資料來源、該至少一外部資料來源與該第一使用者的身份識別之與第一使用者具有關連的複數個聯絡人,且該等聯絡人之前幾位無法從該第一資料來源加以辨識;及決定該等聯絡人之每一者的一相關性測度,其代表在該第一使用者與該聯絡人之間關係的關聯性,每一聯絡人的該相關性測度之決定是與一或多個該第一資料來源或該至少一外部資料來源有關。
- 一種用於辨識在藉由一第一實體控制的一第一網路情境中操作的一第一使用者的社交關係之電腦程式產品,其包括至少一電腦可讀媒體,其中儲存電腦程式指令,組態以使至少一計算裝置進行下列工作:產生關於與該第一網路情境有關且在該第一實體控制下的一第一資料來源之該第一使用者的身份識別,且至少一外部資料來源是在該第一網路情境外且不在該第一實體的控制下;辨識關於該第一資料來源、該至少一外部資料來源與該第一使用者的該身份識別的與該第一使用者具有關係之複數個聯絡人,該等聯絡人之前幾位無法從該第一資料來源加以辨識;及決定該等聯絡人之每一者的一相關性測度,其代表在該第一使用者與該聯絡人之間關係的關聯性,每一聯絡人的相關性測度之決定是與一或多個該第一資料來源或該至少一外部資料來源有關。
- 一種用於辨識在藉由一第一實體控制的一第一網路情境中操作的一第一使用者的社交關係之電腦實施方法,其包括將具有與該第一使用者關係的複數個聯絡人顯示給該第一使用者,該複數個聯絡人之決定係關於與該第一網路情境有關且在該第一實體的控制下的該第一資料來源,該第一網路情境外的至少一外部資料來源且不在該第一實體的控制下;及該第一使用者的身份識別,該身份識別之決定是與該第一資料來源與該至少一外部資料來源有關,該等聯絡人之前幾位係無法從該第一資料來源加以辨識,其中該等複數個聯絡人是根據與該等聯絡人之每一者有關的一相關性測度加以顯示,該相關性測度係代表該第一使用者與該相關聯絡人之間關係的關聯性,每一聯絡人的該相關性測度之決定是與一或多個該第一資料來源或該至少一外部資料來源有關。
- 如申請專利範圍第16項之方法,其中該第一資料來源與該至少一外部資料來源之每一者係對應至一社交網路系統、一通訊系統、一內容分享系統、或一成員網路之一者。
- 如申請專利範圍第16項之方法,其中該相關性測度係代表一通訊頻率、一新近通訊、一通訊量、一通訊週期性、一連接數量、一群成員資格、一人口統計特徵、一名稱、一關係種類、或一地理位置之一或多者。
- 如申請專利範圍第16項之方法,其更包括允許該第一使用者選擇該第一使用者想要提供邀請以與該第一使用者連繫的聯絡人之子集。
- 如申請專利範圍第16項之方法,其更包括允許該第一使用者辨識一額外資料來源,並顯示該等複數個聯絡人的校訂版本,其中複數個聯絡人的校訂版本係根據與每一該等聯絡人有關且參考該額外資料來源所決定的校訂相關性測度而予以呈現。
- 如申請專利範圍第16項之方法,其更包括將多個情境中由該等聯絡人之第一者所產生的聚合行動力提供給該第一使用者。
- 如申請專利範圍第16項之方法,其更包括根據該相關性測度呈現針對該第一使用者的訊息。
- 如申請專利範圍第16項之方法,其中該等複數個聯絡人的排名之處理係與該相關性測度有關,而且其中該等複數個聯絡人係根據該排名予以呈現。
- 如申請專利範圍第16項之方法,其中該等複數個聯絡人之分組處理係與該相關性測度有關,而且其中該等複數個聯絡人是根據該分組予以呈現。
- 如申請專利範圍第16項之方法,其中每一外部資料來源係使用一權限模型,用於控制有關該外部資料來源的資訊存取,而且其中該等複數個聯絡人根據對應至每一外部資料來源的權限模型有關該至少一外部資料來源而決定,藉此聚合與該等外部資料來源有關的權限模型。
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KR20100107495A (ko) | 2010-10-05 |
CN101911066A (zh) | 2010-12-08 |
HK1151369A1 (zh) | 2012-01-27 |
CN103793809B (zh) | 2017-08-11 |
CN101911066B (zh) | 2014-02-19 |
US8954500B2 (en) | 2015-02-10 |
TW200937214A (en) | 2009-09-01 |
CN103793809A (zh) | 2014-05-14 |
WO2009088671A1 (en) | 2009-07-16 |
US20090177744A1 (en) | 2009-07-09 |
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