JP2014050053A - Information processing apparatus and recommended program display method - Google Patents

Information processing apparatus and recommended program display method Download PDF

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JP2014050053A
JP2014050053A JP2012193554A JP2012193554A JP2014050053A JP 2014050053 A JP2014050053 A JP 2014050053A JP 2012193554 A JP2012193554 A JP 2012193554A JP 2012193554 A JP2012193554 A JP 2012193554A JP 2014050053 A JP2014050053 A JP 2014050053A
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program
unit
recommended
recommended program
learning
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Yasukazu Higuchi
靖和 樋口
Yuji Irie
祐司 入江
Toyokazu Itakura
豊和 板倉
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Toshiba Corp
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Toshiba Corp
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Priority to JP2012193554A priority Critical patent/JP2014050053A/en
Priority to PCT/JP2013/058187 priority patent/WO2014034163A1/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/42204—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4755—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user preferences, e.g. favourite actors or genre
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/482—End-user interface for program selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)

Abstract

PROBLEM TO BE SOLVED: To provide an information processing apparatus and a recommended program display method capable of recommending a program even by an apparatus being displayed at a store front or an apparatus just after being purchased.SOLUTION: The information processing apparatus comprises a storage control part, an acquisition part, and a display control part. The storage control part stores an operation history relating to programs, in a storage unit. The acquisition part acquires preference information of a user, on the basis of the operation history stored in the history unit, with preset timing. The display control part selects as a recommended program a program based on the preference information, and displays the selected recommended program on the display unit. If the number of the operation histories is smaller than a preset number, the display control part selects as the recommended program a program meeting a predetermined condition.

Description

本発明の実施形態は、情報処理装置および推薦番組表示方法に関する。   Embodiments described herein relate generally to an information processing apparatus and a recommended program display method.

視聴対象の番組に関わる操作履歴を記録し、記録した操作履歴から視聴者の嗜好を学習し、この学習した嗜好に基づいて視聴者に対する番組の推薦を行う技術が開示されている。   There has been disclosed a technique for recording an operation history related to a program to be viewed, learning a viewer's preference from the recorded operation history, and recommending a program to the viewer based on the learned preference.

特開２００８−００５２００号公報JP 2008-005200 A

しかしながら、従来技術においては、視聴対象の番組に関わる操作履歴が十分に記録されていない場合若しくは記録された操作履歴に基づく視聴者の嗜好の学習が行われていない場合、例えば店頭に展示されている機器あるいは購入直後の機器においては番組の推薦を行うことができない、という課題がある。   However, in the prior art, when the operation history related to the program to be viewed is not sufficiently recorded or when the viewer's preference learning based on the recorded operation history is not performed, for example, it is displayed at a storefront. There is a problem that it is not possible to recommend a program on a device that has been purchased or that has just been purchased.

本発明は、上記に鑑みてなされたものであって、店頭に展示されている機器あるいは購入直後の機器においても番組の推薦を行うことができる情報処理装置および推薦番組表示方法を提供することを目的とする。   The present invention has been made in view of the above, and provides an information processing apparatus and a recommended program display method capable of recommending a program on a device displayed in a store or a device just after purchase. Objective.

実施形態の情報処理装置は、記憶制御部と、取得部と、表示制御部と、を備える。記憶制御部は、番組に関わる操作履歴を記憶部に記憶する。取得部は、予め設定されたタイミングで、記憶部に記憶した操作履歴に基づいてユーザの嗜好情報を取得する。表示制御部は、嗜好情報に基づく番組を推薦番組として選択し、選択した推薦番組を表示部に表示させる。また、表示制御部は、操作履歴の数が予め設定された数より少ない場合、所定の条件を満たす番組を推薦番組として選択する。   The information processing apparatus according to the embodiment includes a storage control unit, an acquisition unit, and a display control unit. The storage control unit stores an operation history related to the program in the storage unit. The acquisition unit acquires the user preference information based on the operation history stored in the storage unit at a preset timing. The display control unit selects a program based on the preference information as a recommended program, and causes the display unit to display the selected recommended program. Further, when the number of operation histories is less than a preset number, the display control unit selects a program that satisfies a predetermined condition as a recommended program.

図１は、本実施形態にかかるデジタルテレビジョンの一例を示す外観斜視図である。FIG. 1 is an external perspective view showing an example of a digital television according to the present embodiment. 図２は、本実施形態にかかるデジタルテレビジョンが有する機能を示すブロック図である。FIG. 2 is a block diagram illustrating functions of the digital television according to the present embodiment. 図３は、本実施形態にかかるデジタルテレビジョンにおいて推薦番組を表示する処理の流れを示すフローチャートである。FIG. 3 is a flowchart showing a flow of processing for displaying a recommended program in the digital television according to the present embodiment. 図４は、本実施形態にかかるデジタルテレビジョンにおける推薦番組の表示例を示す図である。FIG. 4 is a diagram showing a display example of a recommended program on the digital television according to the present embodiment.

以下、添付図面を参照して本実施形態にかかる情報処理装置および推薦番組表示方法について説明する。なお、本実施形態では、デジタルテレビジョンについて説明するが、番組に関わる処理の操作履歴に基づいてユーザの嗜好情報を取得し、取得した嗜好情報に基づく番組を表示部に表示させる機能を有する情報処理装置であれば、例えばレコーダ等であっても良い。   Hereinafter, an information processing apparatus and a recommended program display method according to the present embodiment will be described with reference to the accompanying drawings. In addition, although this embodiment demonstrates digital television, the information which has a function which acquires a user's preference information based on the operation history of the process regarding a program, and displays a program based on the acquired preference information on a display part. If it is a processing device, it may be a recorder, for example.

図１は、本実施形態にかかるデジタルテレビジョンの一例を示す外観斜視図である。図１に示すように、デジタルテレビジョン１００は、前方から見た正面視（前面に対する平面視）で、長方形状の外観を呈している。デジタルテレビジョン１００は、筐体２と、ＬＣＤ（Liquid Crystal Display）パネル３を備えている。ＬＣＤパネル３は、後述する推薦番組提示部１１６（図２参照）から映像信号を受け取り、静止画や動画等の映像を表示する表示部である。また、筐体２は、支持部４に支持されている。   FIG. 1 is an external perspective view showing an example of a digital television according to the present embodiment. As shown in FIG. 1, the digital television 100 has a rectangular appearance when viewed from the front (when viewed from the front). The digital television 100 includes a housing 2 and an LCD (Liquid Crystal Display) panel 3. The LCD panel 3 is a display unit that receives a video signal from a recommended program presentation unit 116 (see FIG. 2) described later and displays a video such as a still image or a moving image. The housing 2 is supported by the support portion 4.

図２は、本実施形態にかかるデジタルテレビジョンが有する機能を示すブロック図である。図２に示すように、本実施形態にかかるデジタルテレビジョン１００は、ユーザ操作入力部１０１、ユーザ操作処理部１０２、操作履歴管理部１０３、操作履歴記憶部１０４、個人嗜好学習部１０５、個人嗜好学習結果管理部１０６、学習結果記憶部１０７、推薦番組取得部１０８、推薦番組選択部１０９、学習度合い算出部１１０、操作履歴情報取得部１１１、個人嗜好学習情報取得部１１２、個人嗜好推薦番組選択部１１３、番組情報記憶部１１４、非個人嗜好推薦番組選択部１１５および推薦番組提示部１１６を備えている。なお、操作履歴記憶部１０４、学習結果記憶部１０７および番組情報記憶部１１４は、ＨＤＤ（Hard Disk Drive）、光ディスク、メモリカード、ＲＡＭ（Random Access Memory）などの一般的に利用されている記憶媒体により構成される。   FIG. 2 is a block diagram illustrating functions of the digital television according to the present embodiment. As shown in FIG. 2, the digital television 100 according to the present embodiment includes a user operation input unit 101, a user operation processing unit 102, an operation history management unit 103, an operation history storage unit 104, an individual preference learning unit 105, an individual preference. Learning result management unit 106, learning result storage unit 107, recommended program acquisition unit 108, recommended program selection unit 109, learning degree calculation unit 110, operation history information acquisition unit 111, personal preference learning information acquisition unit 112, personal preference recommendation program selection Unit 113, program information storage unit 114, non-personal preference recommendation program selection unit 115, and recommended program presentation unit 116. The operation history storage unit 104, the learning result storage unit 107, and the program information storage unit 114 are generally used storage media such as an HDD (Hard Disk Drive), an optical disk, a memory card, and a RAM (Random Access Memory). Consists of.

ユーザ操作入力部１０１は、リモートコントローラ、タブレット端末等から、放送番組に関わる操作（ユーザ操作）の指示（以下、ユーザ操作指示という）を受け取る。例えば、ユーザ操作入力部１０１は、放送番組の録画予約、録画、再生、視聴などの各種処理を指示するユーザ操作指示を受け取る。   The user operation input unit 101 receives an instruction (hereinafter referred to as a user operation instruction) for an operation (user operation) related to a broadcast program from a remote controller, a tablet terminal, or the like. For example, the user operation input unit 101 receives user operation instructions for instructing various processes such as recording reservation, recording, reproduction, and viewing of broadcast programs.

ユーザ操作処理部１０２は、ユーザ操作入力部１０１により受け取ったユーザ操作指示に応じて、放送番組の録画予約、録画、再生、視聴などの各種処理を行う。また、ユーザ操作処理部１０２は、ユーザ操作入力部１０１により受け取ったユーザ操作指示を、操作履歴管理部１０３に送る。   The user operation processing unit 102 performs various processes such as recording reservation, recording, reproduction, and viewing of a broadcast program according to a user operation instruction received by the user operation input unit 101. Also, the user operation processing unit 102 sends the user operation instruction received by the user operation input unit 101 to the operation history management unit 103.

なお、本実施形態では、デジタルテレビジョン１００は、複数チャンネルの放送番組を長時間自動同時録画する長時間自動同時録画機能を有しており、後述する推薦番組として長時間自動同時録画機能によって録画された番組を用いることができる。ただし、後述する推薦番組とする番組は、長時間自動同時録画機能によって録画された番組に限定するものではなく、例えば、番組表情報に基づく将来放送予定の番組でも良いし、通常の番組指定録画により録画された番組でも良いし、デジタルテレビジョン１００が接続されたネットワーク上にあるデジタルテレビジョンやＰＣ（Personal Computer）などの外部機器に保存されている番組のうちデジタルテレビジョン１００によって操作可能（取得可能）な番組であっても良い。   Note that in this embodiment, the digital television 100 has a long-time automatic simultaneous recording function for simultaneously recording a broadcast program of a plurality of channels for a long time, and recording by a long-time automatic simultaneous recording function as a recommended program described later. Program can be used. However, a program to be a recommended program to be described later is not limited to a program recorded by the long-time automatic simultaneous recording function, and may be a program scheduled to be broadcast in the future based on program guide information, or a normal program designated recording May be recorded by the digital television 100, or can be operated by the digital television 100 among programs stored in an external device such as a digital television or a PC (Personal Computer) on the network to which the digital television 100 is connected ( The program can be acquired).

また、本実施形態では、ユーザ操作処理部１０２は、ユーザ操作入力部１０１により受け取ったユーザ操作指示が、ユーザに推薦する番組（以下、推薦番組という）の提示（表示）を指示するものである場合、推薦番組取得部１０８に対して推薦番組の一覧の取得を指示する。   In the present embodiment, the user operation processing unit 102 instructs the user operation instruction received by the user operation input unit 101 to present (display) a recommended program (hereinafter referred to as a recommended program) to the user. In this case, the recommended program acquisition unit 108 is instructed to acquire a list of recommended programs.

操作履歴管理部１０３は、ユーザ操作処理部１０２からユーザ操作指示を受け取り、受け取ったユーザ操作指示（例えば、上述した放送番組の録画予約、録画、再生、視聴などの各種処理を指示する操作指示）の履歴を操作履歴として操作履歴記憶部１０４に記憶させる記憶制御部として機能する。本実施形態では、操作履歴管理部１０３は、操作履歴とともに、当該操作履歴に係るユーザ操作指示を受け取った操作日時を含む操作履歴情報を操作履歴記憶部１０４に記憶させる。また、操作履歴管理部１０３は、操作前または操作時にユーザを識別するＩＤ（以下、ユーザＩＤという）を指定することで、操作を行ったユーザの情報として、指定されたユーザＩＤを含む操作履歴情報を操作履歴記憶部１０４に記憶させることも可能である。   The operation history management unit 103 receives a user operation instruction from the user operation processing unit 102 and receives the received user operation instruction (for example, an operation instruction for instructing various processes such as recording reservation, recording, playback, and viewing of the broadcast program described above). This function functions as a storage control unit that stores the history of the operation history in the operation history storage unit 104 as an operation history. In the present embodiment, the operation history management unit 103 causes the operation history storage unit 104 to store operation history information including the operation history and the operation date and time when the user operation instruction related to the operation history is received. In addition, the operation history management unit 103 designates an ID for identifying a user (hereinafter referred to as a user ID) before or during an operation, thereby including an operation history including the specified user ID as information on the user who performed the operation. It is also possible to store information in the operation history storage unit 104.

個人嗜好学習部１０５は、予め設定された取得タイミングで、操作履歴管理部１０３を介して操作履歴記憶部１０４から操作履歴を取得し、取得した操作履歴に基づいてユーザの嗜好情報を学習（取得）する取得部として機能する。例えば、個人嗜好学習部１０５は、予め設定された日時または予め設定された期間毎に、操作履歴記憶部１０４から操作履歴を取得し、取得した操作履歴に基づいてユーザの嗜好情報を取得する。そして、個人嗜好学習部１０５は、学習したユーザの嗜好情報を個人嗜好学習結果管理部１０６に送る。   The personal preference learning unit 105 acquires an operation history from the operation history storage unit 104 via the operation history management unit 103 at a preset acquisition timing, and learns (acquires) user preference information based on the acquired operation history. ) Functions as an acquisition unit. For example, the personal preference learning unit 105 acquires an operation history from the operation history storage unit 104 for each preset date and time or for a preset period, and acquires user preference information based on the acquired operation history. Then, the personal preference learning unit 105 sends the learned user preference information to the personal preference learning result management unit 106.

個人嗜好学習結果管理部１０６は、個人嗜好学習部１０５により学習したユーザの嗜好情報とともに、当該ユーザの嗜好情報が学習された学習日時を含む個人嗜好学習情報を学習結果記憶部１０７に記憶させる。   The personal preference learning result management unit 106 causes the learning result storage unit 107 to store personal preference learning information including the learning date and time when the user preference information is learned, together with the user preference information learned by the personal preference learning unit 105.

推薦番組取得部１０８、推薦番組選択部１０９、学習度合い算出部１１０、操作履歴情報取得部１１１、個人嗜好学習情報取得部１１２、個人嗜好推薦番組選択部１１３、非個人嗜好推薦番組選択部１１５および推薦番組提示部１１６は、個人嗜好学習部１０５により学習（取得）されたユーザの嗜好情報に基づく番組を推薦番組として選択し、選択した推薦番組をＬＣＤパネル３に表示させる表示制御部として機能する。   Recommended program acquisition unit 108, recommended program selection unit 109, learning degree calculation unit 110, operation history information acquisition unit 111, personal preference learning information acquisition unit 112, personal preference recommendation program selection unit 113, non-personal preference recommendation program selection unit 115, and The recommended program presentation unit 116 functions as a display control unit that selects a program based on user preference information learned (acquired) by the personal preference learning unit 105 as a recommended program and displays the selected recommended program on the LCD panel 3. .

ここで、図２および図３を用いて、推薦番組取得部１０８、推薦番組選択部１０９、学習度合い算出部１１０、操作履歴情報取得部１１１、個人嗜好学習情報取得部１１２、個人嗜好推薦番組選択部１１３、番組情報記憶部１１４、非個人嗜好推薦番組選択部１１５および推薦番組提示部１１６の詳細について説明する。図３は、本実施形態にかかるデジタルテレビジョンにおいて推薦番組を表示する処理の流れを示すフローチャートである。   Here, using FIG. 2 and FIG. 3, the recommended program acquisition unit 108, the recommended program selection unit 109, the learning degree calculation unit 110, the operation history information acquisition unit 111, the personal preference learning information acquisition unit 112, and the personal preference recommendation program selection Details of the unit 113, the program information storage unit 114, the non-personal preference recommendation program selection unit 115, and the recommended program presentation unit 116 will be described. FIG. 3 is a flowchart showing a flow of processing for displaying a recommended program in the digital television according to the present embodiment.

ユーザ操作処理部１０２から推薦番組の一覧の取得が指示されると、推薦番組取得部１０８は、推薦番組選択部１０９に対してユーザの嗜好情報に応じて推薦番組を選択するように指示する。すると、推薦番組選択部１０９は、学習度合い算出部１１０に対して学習度合いの算出を指示する。ここで、学習度合いとは、個人嗜好学習部１０５により学習されたユーザの嗜好情報の精度、すなわち、ユーザの嗜好情報が十分な操作履歴を用いて学習された信頼性の高いものであるか否かを表す。本実施形態では、学習度合いは、ユーザの嗜好情報の学習に用いた操作履歴の数を予め設定された閾値で除算した値である。なお、本実施形態では、ユーザの嗜好情報の学習に用いた操作履歴の数を予め設定された閾値で除算した値を学習度合いとしているが、これに限定するものではなく、例えば、嗜好情報が初めて学習された直後は、予め設定されている初期学習度合いを学習度合いとし、その後、推薦番組の選択回数に対して嗜好情報に基づく推薦番組が操作される回数が多くなるに従い学習度合いを高くし、推薦番組の選択回数に対して嗜好情報に基づく推薦番組が操作される回数が少なくなるに従い学習度合いを低くしても良い。   When acquisition of a list of recommended programs is instructed from the user operation processing unit 102, the recommended program acquisition unit 108 instructs the recommended program selection unit 109 to select a recommended program according to user preference information. Then, the recommended program selection unit 109 instructs the learning degree calculation unit 110 to calculate the learning degree. Here, the learning degree is the accuracy of the user preference information learned by the personal preference learning unit 105, that is, whether or not the user preference information is highly reliable learned using a sufficient operation history. Represents In the present embodiment, the learning degree is a value obtained by dividing the number of operation histories used for learning user preference information by a preset threshold value. In the present embodiment, the learning degree is a value obtained by dividing the number of operation histories used for learning the user's preference information by a preset threshold. However, the degree of learning is not limited to this. Immediately after learning for the first time, the initial learning degree set in advance is set as the learning degree, and then the learning degree is increased as the number of times the recommended program based on the preference information is operated with respect to the number of recommended program selections. The degree of learning may be lowered as the number of times the recommended program based on the preference information is operated with respect to the recommended program selection count.

学習度合いの算出が指示されると、学習度合い算出部１１０は、まず、操作履歴情報取得部１１１に対して操作履歴情報の取得を指示する。操作履歴情報取得部１１１は、操作履歴管理部１０３を介して、操作履歴記憶部１０４から最も古い操作日時を含む操作履歴情報を取得する（ステップＳ３０１）。また、学習度合い算出部１１０は、個人嗜好学習情報取得部１１２に対して個人嗜好学習情報の取得を指示する。個人嗜好学習情報取得部１１２は、個人嗜好学習結果管理部１０６を介して、学習結果記憶部１０７から最後に嗜好情報の学習が行われた学習日時（直近の学習日時）を含む個人嗜好学習情報を取得する（ステップＳ３０２）。   When the learning degree calculation is instructed, the learning degree calculation unit 110 first instructs the operation history information acquisition unit 111 to acquire operation history information. The operation history information acquisition unit 111 acquires operation history information including the oldest operation date and time from the operation history storage unit 104 via the operation history management unit 103 (step S301). Further, the learning degree calculation unit 110 instructs the personal preference learning information acquisition unit 112 to acquire personal preference learning information. The personal preference learning information acquisition unit 112, via the personal preference learning result management unit 106, personal preference learning information including the learning date and time (most recent learning date and time) when the preference information was last learned from the learning result storage unit 107. Is acquired (step S302).

次に、学習度合い算出部１１０は、操作履歴情報取得部１１１に対して、取得した直近の学習日時よりも前の操作日時に記憶された操作履歴の件数の取得を指示する。操作履歴情報取得部１１１は、操作履歴記憶部１０４に記憶された操作履歴のうち、個人嗜好学習情報取得部１１２により取得された直近の学習日時よりも前の操作日時を含む操作履歴情報とともに記憶された操作履歴の件数を取得する（ステップＳ３０３）。さらに、学習度合い算出部１１０は、個人嗜好学習情報取得部１１２に対して、取得した直近の学習日時を含む個人嗜好学習情報とともに記憶された嗜好情報の取得を指示する。個人嗜好学習情報取得部１１２は、個人嗜好学習結果管理部１０６を介して、学習結果記憶部１０７から、直近の学習日時を含む個人嗜好学習情報とともに記憶された嗜好情報を取得する（ステップＳ３０３）。   Next, the learning level calculation unit 110 instructs the operation history information acquisition unit 111 to acquire the number of operation histories stored on the operation date and time prior to the acquired most recent learning date and time. The operation history information acquisition unit 111 stores the operation history stored in the operation history storage unit 104 together with operation history information including the operation date and time before the most recent learning date and time acquired by the personal preference learning information acquisition unit 112. The number of performed operation histories is acquired (step S303). Furthermore, the learning degree calculation unit 110 instructs the personal preference learning information acquisition unit 112 to acquire the preference information stored together with the personal preference learning information including the most recent acquired learning date and time. The personal preference learning information acquisition unit 112 acquires the preference information stored together with the personal preference learning information including the latest learning date and time from the learning result storage unit 107 via the personal preference learning result management unit 106 (step S303). .

次いで、学習度合い算出部１１０は、学習度合いの算出を行う（ステップＳ３０４）。具体的には、学習度合い算出部１１０は、操作履歴情報取得部１１１により取得した操作履歴情報が含む操作日時と、個人嗜好学習情報取得部１１２により取得した個人嗜好学習情報が含む学習日時と、を比較する。そして、学習度合い算出部１１０は、学習日時が操作日時よりも前の日時である場合には、学習実行時に操作履歴が記憶されていなかったこととなるため、学習度合いとしてゼロとし、嗜好情報の学習が行われていない状態とする。一方、学習度合い算出部１１０は、学習日時が操作日時よりも後の日時である場合には、操作履歴情報取得部１１１により取得した操作履歴の件数を予め設定された閾値で除算した値を学習度合いとして算出する。   Next, the learning level calculation unit 110 calculates the learning level (step S304). Specifically, the learning degree calculation unit 110 includes an operation date and time included in the operation history information acquired by the operation history information acquisition unit 111, a learning date and time included in the personal preference learning information acquired by the personal preference learning information acquisition unit 112, Compare When the learning date / time is earlier than the operation date / time, the learning degree calculation unit 110 sets the learning degree to zero since the operation history is not stored at the time of learning execution. The learning is not performed. On the other hand, when the learning date / time is later than the operation date / time, the learning degree calculation unit 110 learns a value obtained by dividing the number of operation histories acquired by the operation history information acquisition unit 111 by a preset threshold. Calculated as a degree.

推薦番組選択部１０９は、学習度合い算出部１１０により算出された学習度合いに基づいて、嗜好情報が学習済みであるか否かを判断する（ステップＳ３０５）。算出された学習度合いがゼロでない場合、嗜好情報が学習済みと判断して（ステップＳ３０５：Ｙｅｓ）、推薦番組選択部１０９は、個人嗜好推薦番組選択部１１３に推薦番組の選択を指示する。個人嗜好推薦番組選択部１１３は、個人嗜好学習結果管理部１０６から個人嗜好学習情報を取得し、番組情報記憶部１１４に番組情報が記憶された番組の中から、取得された嗜好情報に基づく番組を選択する（ステップＳ３０６）。次いで、推薦番組選択部１０９は、学習度合い算出部１１０により算出された学習度合いに基づいて、嗜好情報の学習が十分であるか否かを判断する（ステップＳ３０７）。具体的には、推薦番組選択部１０９は、学習度合い算出部１１０により算出された学習度合いが１以上である場合には、嗜好情報の学習が十分であると判断する。すなわち、推薦番組選択部１０９は、操作履歴情報取得部１１１により取得した操作履歴の件数が予め設定された閾値以上である場合、嗜好情報の学習が十分であると判断する。   The recommended program selection unit 109 determines whether the preference information has been learned based on the learning degree calculated by the learning degree calculation unit 110 (step S305). If the calculated degree of learning is not zero, it is determined that the preference information has been learned (step S305: Yes), and the recommended program selection unit 109 instructs the personal preference recommended program selection unit 113 to select a recommended program. The personal preference recommendation program selection unit 113 acquires personal preference learning information from the personal preference learning result management unit 106, and a program based on the acquired preference information from the programs whose program information is stored in the program information storage unit 114. Is selected (step S306). Next, the recommended program selection unit 109 determines whether the learning of the preference information is sufficient based on the learning level calculated by the learning level calculation unit 110 (step S307). Specifically, the recommended program selection unit 109 determines that the learning of the preference information is sufficient when the learning level calculated by the learning level calculation unit 110 is 1 or more. That is, the recommended program selection unit 109 determines that the learning of the preference information is sufficient when the number of operation histories acquired by the operation history information acquisition unit 111 is equal to or greater than a preset threshold.

そして、嗜好情報が学習済みでないと判断した場合（ステップＳ３０５：Ｎｏ）または嗜好情報の学習が十分でないと判断した場合（ステップＳ３０７：Ｎｏ）、推薦番組選択部１０９は、非個人嗜好推薦番組選択部１１５に嗜好情報に基づかない推薦番組の選択を指示する。非個人嗜好推薦番組選択部１１５は、番組情報記憶部１１４に番組情報が記憶された番組の中から、嗜好情報に基づかずに所定の条件を満たす番組を選択する（ステップＳ３０８）。具体的には、非個人嗜好推薦番組選択部１１５は、長時間自動同時録画機能により録画した複数チャンネルの番組のうち最新に録画した所定数（例えば、５０個など）の番組を選択する。また、非個人嗜好推薦番組選択部１１５は、ＬＣＤパネル３に最後に表示された番組に関連する番組を選択しても良い。また、非個人嗜好番組選択部１１５は、他のユーザの嗜好情報に基づく番組を図示しないネットワークで接続された他のデジタルテレビジョン等の外部機器等から取得し、取得した番組を選択しても良い。本実施形態では、非個人嗜好推薦番組選択部１１５は、以上の３つの選択方法のうち少なくとも１つの選択方法を用いて、嗜好情報に基づかずに所定の条件を満たす番組の選択を行う。なお、非個人嗜好推薦番組選択部１１５は、上述した３つの選択方法に限定されず、例えば、長時間自動同時録画した複数チャンネルの番組のうち他のデジタルテレビジョンにおいておすすめ番組に設定された番組、放送番組を配信するサーバにおいておすすめ番組に設定された番組などを、嗜好情報に基づかずに所定の条件を満たす番組として選択しても良い。   When it is determined that the preference information has not been learned (step S305: No) or when it is determined that the preference information has not been sufficiently learned (step S307: No), the recommended program selection unit 109 selects the non-personal preference recommended program. The unit 115 is instructed to select a recommended program that is not based on the preference information. The non-personal preference recommendation program selection unit 115 selects a program that satisfies a predetermined condition from the programs whose program information is stored in the program information storage unit 114 without being based on the preference information (step S308). Specifically, the non-individual preference recommendation program selection unit 115 selects a predetermined number (for example, 50) of the latest recorded programs among the programs of a plurality of channels recorded by the long-time automatic simultaneous recording function. The non-personal preference recommendation program selection unit 115 may select a program related to the program last displayed on the LCD panel 3. Further, the non-personal preference program selection unit 115 acquires a program based on preference information of another user from an external device such as another digital television connected via a network (not shown), and selects the acquired program. good. In the present embodiment, the non-individual preference recommendation program selection unit 115 uses at least one of the three selection methods described above to select a program that satisfies a predetermined condition without being based on preference information. The non-personal preference recommendation program selection unit 115 is not limited to the above-described three selection methods. For example, a program set as a recommended program in another digital television among programs of a plurality of channels that are automatically recorded for a long time. A program set as a recommended program in a server that distributes broadcast programs may be selected as a program that satisfies a predetermined condition without being based on preference information.

推薦番組選択部１０９は、学習度合い算出部１１０により算出された学習度合いに応じて、個人嗜好推薦番組選択部１１３により選択された番組および非個人嗜好推薦番組選択部１１５により選択された番組の中からユーザに提示する推薦番組を選択する（ステップＳ３０９）。具体的には、推薦番組選択部１０９は、算出された学習度合いが１以上であり、嗜好情報の学習が十分であると判断された場合、個人嗜好推薦番組選択部１１３により選択された番組を、ユーザに提示する推薦番組として選択する。   The recommended program selection unit 109 selects a program selected by the personal preference recommendation program selection unit 113 and a program selected by the non-personal preference recommendation program selection unit 115 according to the learning level calculated by the learning level calculation unit 110. A recommended program to be presented to the user is selected (step S309). Specifically, the recommended program selection unit 109 selects the program selected by the personal preference recommendation program selection unit 113 when the calculated learning degree is 1 or more and it is determined that the preference information is sufficiently learned. The recommended program to be presented to the user is selected.

一方、推薦番組選択部１０９は、算出された学習度合いが１未満である場合（すなわち、取得した操作履歴の件数が予め設定された数より少ない場合）、取得した操作履歴の件数が増えるに従い、推薦番組として選択する嗜好情報に基づく番組の数を増やす。また、推薦番組選択部１０９は、取得した操作履歴の件数が予め設定された数より少ない場合、取得した操作履歴の件数が増えるに従い、推薦番組として選択する嗜好情報に基づく番組の数の比率を上げる。具体的には、推薦番組選択部１０９は、算出された学習度合いが１未満である場合、推薦番組として選択可能な最大の番組数（以下、最大番組数という）に対して学習度合いを比率として乗算して得られた数だけ、個人嗜好推薦番組選択部１１３により選択された番組を選択し、残りの番組の数だけ、非個人嗜好推薦番組選択部１１５により選択された番組から選択する。例えば、算出された学習度合いが０．７であり、最大番組数が５０件である場合、推薦番組選択部１０９は、５０件×０．７＝３５件分を、個人嗜好推薦番組選択部１１３により選択された番組から選択し、残りの５０−３５＝１５件分を、非個人嗜好推薦番組選択部１１５により選択された番組から選択する。   On the other hand, when the calculated learning degree is less than 1 (that is, when the number of acquired operation histories is less than a preset number), the recommended program selection unit 109 increases the number of acquired operation histories as the number of acquired operation histories increases. Increase the number of programs based on preference information selected as recommended programs. Further, when the number of acquired operation histories is smaller than a preset number, the recommended program selection unit 109 sets the ratio of the number of programs based on preference information selected as a recommended program as the number of acquired operation histories increases. increase. Specifically, when the calculated learning level is less than 1, the recommended program selection unit 109 uses the learning level as a ratio with respect to the maximum number of programs that can be selected as the recommended program (hereinafter referred to as the maximum number of programs). The number of programs selected by the personal preference recommendation program selection unit 113 is selected by the number obtained by the multiplication, and the number of remaining programs is selected from the programs selected by the non-personal preference recommendation program selection unit 115. For example, when the calculated learning degree is 0.7 and the maximum number of programs is 50, the recommended program selecting unit 109 sets 50 × 0.7 = 35 to the personal preference recommended program selecting unit 113. The remaining 50-35 = 15 programs are selected from the programs selected by the non-personal preference recommendation program selection unit 115.

すなわち、算出された学習度合いが１未満である場合、推薦番組選択部１０９は、最大番組数に対して、算出した学習度合いを乗算して得られた数の番組を、個人嗜好推薦番組選択部１１３により選択された番組の中から推薦番組として選択する。さらに、推薦番組選択部１０９は、最大番組数に対して、１から学習度合いを減算した値を乗算して得られた数の番組を、非個人嗜好推薦番組選択部１１５により選択された番組の中から推薦番組として選択する。なお、算出された学習度合いがゼロである場合、推薦番組選択部１０９は、非個人嗜好推薦番組選択部１１５により選択された番組のみから、推薦番組を選択する。   That is, when the calculated learning level is less than 1, the recommended program selection unit 109 sets the number of programs obtained by multiplying the maximum learning number by the calculated learning level to the personal preference recommendation program selection unit. The recommended program is selected from the programs selected in step 113. Furthermore, the recommended program selection unit 109 multiplies the maximum number of programs by a value obtained by subtracting the learning degree from 1 to the number of programs selected by the non-personal preference recommendation program selection unit 115. Select from the recommended programs. When the calculated learning degree is zero, the recommended program selection unit 109 selects a recommended program only from the programs selected by the non-personal preference recommendation program selection unit 115.

上述した例では、推薦番組選択部１０９は、予め設定された最大番組数内において、取得した操作履歴の件数が増えるに従い、推薦番組として選択する嗜好情報に基づく番組の数を増やしたり、推薦番組として選択する嗜好情報に基づく番組に数の比率を上げたりしている。言い換えると、推薦番組選択部１０９は、予め設定された最大番組数内において、学習度合いに応じて、推薦番組として選択する嗜好情報に基づく番組の比率を変更しているが、これに限定するものではない。推薦番組選択部１０９は、推薦番組を選択可能な番組数の上限（すなわち、最大番組数）を設けずに、取得した操作履歴の件数が増えるに従い、推薦番組として選択する嗜好情報に基づく番組の数を増やしたり、推薦番組として選択する嗜好情報に基づく番組の数の比率を上げたりしても良い。具体的には、推薦番組選択部１０９は、個人嗜好推薦番組選択部１１３によって選択された番組から、その番組総数に対して学習度合いを比率として乗算した件数を推薦番組として選択し、非個人嗜好推薦番組選択部１１５により選択された番組から、その番組総数に対して１から学習度合いを減算した値（１−学習度合い）を比率として乗算した件数を推薦番組として選択する。例えば、学習度合いが０．７であり、個人嗜好推薦番組選択部１１３により選択された番組の数が１００件であり、非個人嗜好推薦番組選択部１１５により選択された番組の数が５０件である場合、推薦番組選択部１０９は、個人嗜好推薦番組選択部１１３により選択された番組から、１００×０．７＝７０件を推薦番組として選択し、非個人嗜好推薦番組選択部１１５により選択された番組から、５０×（１−０．７）＝１５件を推薦番組として選択する。すなわち、推薦番組選択部１０９は、合計８５件の推薦番組を選択する。   In the example described above, the recommended program selection unit 109 increases the number of programs based on the preference information selected as the recommended program as the number of acquired operation histories increases within the preset maximum number of programs, The ratio of the number of programs based on the preference information to be selected is increased. In other words, the recommended program selection unit 109 changes the ratio of programs based on preference information to be selected as a recommended program in accordance with the degree of learning within a preset maximum number of programs. is not. The recommended program selection unit 109 does not provide an upper limit of the number of programs that can select a recommended program (that is, the maximum number of programs), and the number of programs based on preference information selected as a recommended program increases as the number of acquired operation histories increases. The number of programs may be increased or the ratio of the number of programs based on preference information selected as a recommended program may be increased. Specifically, the recommended program selection unit 109 selects, from the programs selected by the personal preference recommendation program selection unit 113, the number of programs obtained by multiplying the total number of programs by the learning degree as a recommended program, and sets the non-personal preference. From the program selected by the recommended program selection unit 115, the number of programs obtained by multiplying the total number of programs by a value obtained by subtracting the learning degree from 1 (1−learning degree) as a ratio is selected as the recommended program. For example, the learning degree is 0.7, the number of programs selected by the personal preference recommendation program selection unit 113 is 100, and the number of programs selected by the non-personal preference recommendation program selection unit 115 is 50. In some cases, the recommended program selection unit 109 selects 100 × 0.7 = 70 programs as recommended programs from the programs selected by the personal preference recommendation program selection unit 113, and is selected by the non-personal preference recommendation program selection unit 115. 50 × (1-0.7) = 15 programs are selected as recommended programs. That is, the recommended program selection unit 109 selects a total of 85 recommended programs.

なお、個人嗜好推薦番組選択部１１３および非個人嗜好推薦番組選択部１１５により選択された番組から学習度合いに応じた件数の番組を選択する際の選択順序は、予め設定された推薦度が高い番組から選択しても良いし、番組放送日時の昇順または降順に従って選択しても良い。さらに、推薦度合いが高い番組から選択するか、若しくは番組放送日時に昇順または降順に従って選択するかなどの選択順序を、ユーザが任意に選択できるようにしても良い。本実施形態では、推薦度や番組放送日時などの順序を付与可能な番組の情報に基づいて選択順序を定めれば良く、特定の情報による選択順序を定めることに限定するものではない。   The selection order when selecting the number of programs corresponding to the degree of learning from the programs selected by the personal preference recommendation program selection unit 113 and the non-personal preference recommendation program selection unit 115 is a program having a preset recommendation level. Or may be selected according to ascending or descending order of program broadcast date and time. Furthermore, the user may arbitrarily select a selection order such as selecting from programs with a high recommendation degree, or selecting according to ascending order or descending order for program broadcast dates and times. In the present embodiment, the selection order may be determined based on program information that can be given an order such as recommendation level and program broadcast date and time, and is not limited to setting the selection order based on specific information.

そして、推薦番組提示部１１６は、推薦番組取得部１０８を介して、推薦番組選択部１０９により選択された推薦番組を取得し、取得した推薦番組をＬＣＤパネル３に表示させる（ステップＳ３１０）。これにより、デジタルテレビジョン１００は、ユーザに対して推薦番組を提示することができる。   Then, the recommended program presentation unit 116 acquires the recommended program selected by the recommended program selection unit 109 via the recommended program acquisition unit 108, and displays the acquired recommended program on the LCD panel 3 (step S310). Thereby, the digital television 100 can present a recommended program to the user.

図４は、本実施形態にかかるデジタルテレビジョンにおける推薦番組の表示例を示す図である。図４に示すように、推薦番組提示部１１６は、視聴中の放送番組の映像に重ねてＬＣＤパネル３に対して推薦番組リストＬを表示する。推薦番組リストＬには、選択された推薦番組の内容（放送日時、チャンネル、タイトル、番組内容など）ｎが番組情報記憶部１１４に記憶されたＥＩＴ（番組表データ）から取得されて一覧表示される。また、推薦番組リストＬから、図示しないリモートコントローラ等で番組が選択されると、選択された推薦番組の操作確認ダイアログＤが表示される。選択された番組が録画番組であれば視聴確認となり、放送予定番組であれば録画・視聴予約確認となる。操作確認ダイアログＤ上にはユーザが視聴あるいは録画・視聴予約するか否かを意思表示するためのボタンｂ１，ｂ２が表示される。これらのボタンｂ１，ｂ２は、図示しないリモートコントローラ等により操作される。なお、推薦番組の表示（提示）方法は、図４に示す表示例に限定されるものではなく、例えば、推薦番組リストＬはＬＣＤパネル３の画面全体に表示しても良い。   FIG. 4 is a diagram showing a display example of a recommended program on the digital television according to the present embodiment. As shown in FIG. 4, the recommended program presentation unit 116 displays a recommended program list L on the LCD panel 3 so as to overlap the video of the broadcast program being viewed. In the recommended program list L, the content (broadcast date, channel, title, program content, etc.) n of the selected recommended program is acquired from the EIT (program guide data) stored in the program information storage unit 114 and displayed in a list. The When a program is selected from the recommended program list L with a remote controller (not shown) or the like, an operation confirmation dialog D for the selected recommended program is displayed. If the selected program is a recorded program, the viewing confirmation is made, and if the selected program is a broadcast scheduled program, the recording / viewing reservation confirmation is made. On the operation confirmation dialog D, buttons b1 and b2 for displaying whether or not the user is viewing or recording / viewing reservation are displayed. These buttons b1 and b2 are operated by a remote controller or the like (not shown). Note that the recommended program display (presentation) method is not limited to the display example shown in FIG. 4. For example, the recommended program list L may be displayed on the entire screen of the LCD panel 3.

番組提案メッセージにＭに含まれるメッセージｍとしては、番組視聴中は「まもなく始まります」、ザッピング中は「あなたにおすすめの番組があります」、番組ＯＦＦ時には「今日、あなたにおすすめの番組があります」などが挙げられる。   The message m included in M in the program proposal message is “It will start soon” while watching the program, “There is a program recommended for you” while zapping, “There is a program recommended for you today” when the program is OFF Etc.

このように、本実施形態のデジタルテレビジョン１００によれば、店頭に展示されている機器あるいは購入直後の機器においても番組の推薦を行うことができる。   As described above, according to the digital television 100 of the present embodiment, it is possible to recommend a program on a device displayed in a store or a device just after purchase.

なお、本実施形態のデジタルテレビジョン１００で実行されるプログラムは、ＲＯＭ（Read Only Memory）等に予め組み込まれて提供される。また、本実施形態のデジタルテレビジョン１００で実行されるプログラムは、インストール可能な形式又は実行可能な形式のファイルでＣＤ−ＲＯＭ、フレキシブルディスク（ＦＤ）、ＣＤ−Ｒ、ＤＶＤ（Digital Versatile Disk）等のコンピュータで読み取り可能な記録媒体に記録して提供するように構成してもよい。   Note that the program executed by the digital television 100 of the present embodiment is provided by being incorporated in advance in a ROM (Read Only Memory) or the like. The program executed by the digital television 100 of the present embodiment is a file in an installable or executable format, such as a CD-ROM, a flexible disk (FD), a CD-R, a DVD (Digital Versatile Disk), or the like. It may be configured to be recorded on a computer-readable recording medium.

さらに、本実施形態のデジタルテレビジョン１００で実行されるプログラムを、インターネット等のネットワークに接続されたコンピュータ上に格納し、ネットワーク経由でダウンロードさせることにより提供するように構成しても良い。また、本実施形態のデジタルテレビジョン１００で実行されるプログラムをインターネット等のネットワーク経由で提供または配布するように構成しても良い。   Furthermore, the program executed by the digital television 100 of the present embodiment may be provided by being stored on a computer connected to a network such as the Internet and downloaded via the network. Further, the program executed by the digital television 100 of the present embodiment may be provided or distributed via a network such as the Internet.

本実施形態のデジタルテレビジョン１００で実行されるプログラムは、上述した各部（ユーザ操作入力部１０１、ユーザ操作処理部１０２、操作履歴管理部１０３、個人嗜好学習部１０５、個人嗜好学習結果管理部１０６、推薦番組取得部１０８、推薦番組選択部１０９、学習度合い算出部１１０、操作履歴情報取得部１１１、個人嗜好学習情報取得部１１２、個人嗜好推薦番組選択部１１３、非個人嗜好推薦番組選択部１１５および推薦番組提示部１１６）を含むモジュール構成となっており、実際のハードウェアとしてはＣＰＵ（プロセッサ）が上記ＲＯＭからプログラムを読み出して実行することにより上記各部が主記憶装置上にロードされ、ユーザ操作入力部１０１、ユーザ操作処理部１０２、操作履歴管理部１０３、個人嗜好学習部１０５、個人嗜好学習結果管理部１０６、推薦番組取得部１０８、推薦番組選択部１０９、学習度合い算出部１１０、操作履歴情報取得部１１１、個人嗜好学習情報取得部１１２、個人嗜好推薦番組選択部１１３、非個人嗜好推薦番組選択部１１５および推薦番組提示部１１６が主記憶装置上に生成されるようになっている。   The program executed by the digital television 100 of this embodiment includes the above-described units (user operation input unit 101, user operation processing unit 102, operation history management unit 103, personal preference learning unit 105, personal preference learning result management unit 106). , Recommended program acquisition unit 108, recommended program selection unit 109, learning degree calculation unit 110, operation history information acquisition unit 111, personal preference learning information acquisition unit 112, personal preference recommendation program selection unit 113, non-personal preference recommendation program selection unit 115 And a recommended program presentation unit 116). As actual hardware, a CPU (processor) reads out a program from the ROM and executes the program, so that each unit is loaded on the main storage device, and the user Operation input unit 101, user operation processing unit 102, operation history management unit 103, personal preference learning 105, personal preference learning result management unit 106, recommended program acquisition unit 108, recommended program selection unit 109, learning degree calculation unit 110, operation history information acquisition unit 111, personal preference learning information acquisition unit 112, personal preference recommendation program selection unit 113 The non-personal preference recommended program selection unit 115 and the recommended program presentation unit 116 are generated on the main storage device.

本発明の実施形態を説明したが、この実施形態は、例として提示したものであり、発明の範囲を限定することは意図していない。この新規な実施形態は、その他の様々な形態で実施されることが可能であり、発明の要旨を逸脱しない範囲で、種々の省略、置き換え、変更を行うことができる。この実施形態は、発明の範囲や要旨に含まれるとともに、特許請求の範囲に記載された発明とその均等の範囲に含まれる。   Although the embodiment of the present invention has been described, this embodiment is presented as an example and is not intended to limit the scope of the invention. The novel embodiment can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. This embodiment is included in the scope and gist of the invention, and is also included in the invention described in the claims and the equivalent scope thereof.

１００・・・デジタルテレビジョン、１０１・・・ユーザ操作入力部、１０２・・・ユーザ操作処理部、１０３・・・操作履歴管理部、１０４・・・操作履歴記憶部、１０５・・・個人嗜好学習部、１０６・・・個人嗜好学習結果管理部、１０７・・・学習結果記憶部、１０８・・・推薦番組取得部、１０９・・・推薦番組選択部、１１０・・・学習度合い算出部、１１１・・・操作履歴情報取得部、１１２・・・個人嗜好学習情報取得部、１１３・・・個人嗜好推薦番組選択部、１１４・・・番組情報記憶部、１１５・・・非個人嗜好推薦番組選択部、１１６・・・推薦番組提示部、２・・・筐体、３・・ＬＣＤパネル、４・・・支持部。   DESCRIPTION OF SYMBOLS 100 ... Digital television, 101 ... User operation input part, 102 ... User operation processing part, 103 ... Operation history management part, 104 ... Operation history storage part, 105 ... Personal preference Learning unit 106 ... personal preference learning result management unit 107 107 learning result storage unit 108 ... recommended program acquisition unit 109 ... recommended program selection unit 110 110 learning degree calculation unit 111 ... Operation history information acquisition unit, 112 ... Individual preference learning information acquisition unit, 113 ... Individual preference recommendation program selection unit, 114 ... Program information storage unit, 115 ... Non-personal preference recommendation program Selection unit 116... Recommended program presentation unit 2... Casing 3. LCD panel 4.

Claims (8)

番組に関わる操作履歴を記憶部に記憶する記憶制御部と、
予め設定されたタイミングで、前記記憶部に記憶した前記操作履歴に基づいてユーザの嗜好情報を取得する取得部と、
前記嗜好情報に基づく番組を推薦番組として選択し、選択した前記推薦番組を表示部に表示させる表示制御部と、を備え、
前記表示制御部は、前記操作履歴の数が予め設定された数より少ない場合、所定の条件を満たす番組を前記推薦番組として選択する情報処理装置。 A storage control unit for storing an operation history related to a program in a storage unit;
An acquisition unit that acquires user preference information based on the operation history stored in the storage unit at a preset timing;
A display control unit that selects a program based on the preference information as a recommended program and displays the selected recommended program on a display unit;
When the number of the operation histories is less than a preset number, the display control unit selects a program that satisfies a predetermined condition as the recommended program. 前記表示制御部は、前記操作履歴の数が増えるに従い、前記推薦番組として選択する前記嗜好情報に基づく番組の数を増やす請求項１に記載の情報処理装置。   The information processing apparatus according to claim 1, wherein the display control unit increases the number of programs based on the preference information selected as the recommended program as the number of operation histories increases. 前記表示制御部は、前記操作履歴の数が増えるに従い、前記推薦番組として選択する前記嗜好情報に基づく番組の数の比率を上げる請求項１または２に記載の情報処理装置。   The information processing apparatus according to claim 1, wherein the display control unit increases a ratio of the number of programs based on the preference information selected as the recommended program as the number of operation histories increases. 前記表示制御部は、前記操作履歴の数が前記予め設定された数より少ない場合、同時録画した複数チャンネルの番組のうち最新に録画した所定数の番組を前記推薦番組として選択する請求項１から３のいずれか一に記載の情報処理装置。   2. The display control unit, when the number of operation histories is smaller than the preset number, selects a predetermined number of programs recorded most recently among the simultaneously recorded programs of a plurality of channels as the recommended programs. 4. The information processing apparatus according to any one of 3. 前記表示制御部は、前記操作履歴の数が前記予め設定された数より少ない場合、前記表示部に最後に表示された番組に関連する番組を前記推薦番組として選択する請求項１から４のいずれか一に記載の情報処理装置。   5. The display control unit according to claim 1, wherein when the number of operation histories is less than the preset number, the display control unit selects a program related to the program last displayed on the display unit as the recommended program. An information processing apparatus according to claim 1. 前記表示制御部は、前記操作履歴の数が前記予め設定された数より少ない場合、他のユーザの嗜好情報に基づく番組を取得し、取得した番組を前記推薦番組として選択する請求項１から５のいずれか一に記載の情報処理装置。   The display control unit acquires a program based on preference information of another user when the number of operation histories is smaller than the preset number, and selects the acquired program as the recommended program. The information processing apparatus according to any one of the above. 情報処理装置で実行される推薦番組表示方法であって、
前記情報処理装置は、
記憶制御部が、番組に関わる操作履歴を記憶部に記憶する過程と、
取得部が、予め設定されたタイミングで、前記記憶部に記憶した前記操作履歴に基づいてユーザの嗜好情報を取得する過程と、
表示制御部が、前記嗜好情報に基づく番組を推薦番組として選択し、選択した前記推薦番組を表示部に表示させる過程と、を含み、
前記表示制御部は、前記操作履歴の数が予め設定された数より少ない場合、所定の条件を満たす番組を前記推薦番組として選択する推薦番組表示方法。 A recommended program display method executed by an information processing apparatus,
The information processing apparatus includes:
A process in which the storage control unit stores an operation history related to the program in the storage unit;
A process in which the acquisition unit acquires user preference information based on the operation history stored in the storage unit at a preset timing;
A display control unit selecting a program based on the preference information as a recommended program, and displaying the selected recommended program on a display unit,
The display control unit is a recommended program display method for selecting, as the recommended program, a program that satisfies a predetermined condition when the number of operation histories is smaller than a preset number. 番組に関わる操作履歴を記憶部に記憶する記憶制御部と、
予め設定されたタイミングで、前記記憶部に記憶した前記操作履歴に基づいてユーザの嗜好情報を学習する学習部と、
前記記憶部に記憶した前記操作履歴と前記学習部により学習した前記嗜好情報とに基づいて前記嗜好情報の学習度合いを算出する算出部と、
学習した前記嗜好情報に基づく番組を選択する第１選択部と、
学習した前記嗜好情報とは異なる情報に基づいて番組を選択する第２選択部と、
前記第１選択部により選択した番組および前記第２選択部により選択した番組から、算出した前記学習度合いに基づいて、ユーザに提示する番組を推薦番組として選択して前記表示部に表示させる表示制御部と、
を備えた情報処理装置。 A storage control unit for storing an operation history related to a program in a storage unit;
A learning unit that learns user preference information based on the operation history stored in the storage unit at a preset timing;
A calculation unit that calculates a learning degree of the preference information based on the operation history stored in the storage unit and the preference information learned by the learning unit;
A first selection unit for selecting a program based on the learned preference information;
A second selection unit that selects a program based on information different from the learned preference information;
Display control for selecting a program to be presented to the user as a recommended program from the program selected by the first selection unit and the program selected by the second selection unit and displaying the selected program on the display unit And
An information processing apparatus comprising:
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