JPH05314186A - Automatic information source selector - Google Patents

Automatic information source selector

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Publication number
JPH05314186A
JPH05314186A JP4113483A JP11348392A JPH05314186A JP H05314186 A JPH05314186 A JP H05314186A JP 4113483 A JP4113483 A JP 4113483A JP 11348392 A JP11348392 A JP 11348392A JP H05314186 A JPH05314186 A JP H05314186A
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JP
Japan
Prior art keywords
user
information
program
information source
learning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
JP4113483A
Other languages
Japanese (ja)
Inventor
Tsutomu Asaine
Izumi Ichikawa
Tomoji Komata
Hiroshi Matsuoka
Hirohide Munakata
智司 小俣
泉 市川
努 朝稲
宏 松岡
博英 棟方
Original Assignee
Canon Inc
キヤノン株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Canon Inc, キヤノン株式会社 filed Critical Canon Inc
Priority to JP4113483A priority Critical patent/JPH05314186A/en
Publication of JPH05314186A publication Critical patent/JPH05314186A/en
Application status is Withdrawn legal-status Critical

Links

Abstract

PURPOSE: To obtain an automatic information source selector by which an information source in which a user is interested can be automatically extracted from among the various information sources, the user can be released from an information retrieving operation for an information source selection, and the possibility of the omission of the information source necessitated by the user can be reduced.
CONSTITUTION: The individuality of the user can be learned by changing the weighting of a neuron connection between an input layer 11 and an intermediate layer 12, and between the intermediate layer 12 and an output layer 13 so that the interest degree neuron of the user in the output layer 13 can be intensely fired for input data from a program data base. Then, the program in which the user is intensely interested can be selected by selecting the program data for which the firing of the interest degree neuron of the user is intense in the output layer 13 from among the entire program data inputted from the program data base, based on the learned result.
COPYRIGHT: (C)1993,JPO&Japio

Description

【発明の詳細な説明】 DETAILED DESCRIPTION OF THE INVENTION

【0001】 [0001]

【産業上の利用分野】本発明は使用者の個性を学習させることによって使用者の必要性に合致する情報源を選び出す機能を持つ自動情報源選択装置に関するものである。 The present invention relates to relates to the automatic source selection device having the function of selecting an information source that matches the needs of the user by learning the identity of the user.

【0002】 [0002]

【従来の技術】情報端末機器では、使用者によりアクセス可能な情報源が一義的に構造化されている。 BACKGROUND OF THE INVENTION information terminal device, accessible information source is uniquely structured by the user. 従って、 Therefore,
このような情報源をアクセスする使用者は、例えば階層構造を持つメニュー方式などによって、所望の情報源を選択していた。 User to access such information sources, such as by a menu system having a hierarchical structure, has been selected the desired source. 特に、これまでの放送受信装置においては、新聞や雑誌などの情報からその情報源である番組内容を判断するか、実際の番組を見ながらチャンネルを変えることにより、受信者自身が所望の番組(情報源)を選択していた。 In particular, this in the broadcast receiving apparatus of the past, it is determined whether the information program content that is a source of information from newspapers or magazines, by changing the channel while viewing the actual program, the recipient himself desired program ( information source) have selected.

【0003】 [0003]

【発明が解決しようとする課題】しかしながら、従来の方法による番組選択を行なった場合、番組情報を常に把握・参照したり、他の番組を常に見る必要があり、時間的な制約があったり、煩雑である。 The object of the invention is to be Solved However, in the case of performing the program selection by the conventional method, always or understand and see, there is always need to see the other program the program information, or there is a time constraint, it is complicated. また、新聞・雑誌等の情報媒体からの番組情報からだけではその番組の内容を的確に判断できない場合もある。 In addition, only from the program information from the information media such as newspapers and magazines are also not be able to accurately determine the content of the program. つまり、自分にとって重要な情報を漏らさずに選び出すことは非常に困難である。 In other words, it is very difficult to pick out without leaking important information for me. また、番組情報の持つ意味は同一の言葉でも個人によってその解釈が異なり、利用者個人の関心に合致した番組情報を選択する方法が求められていたが、多様な番組情報の意味を統合して記述する方法がなかったため、実用化されていなかった。 Also, the meaning of the program information is different interpretations by individuals in the same words, but a method of selecting a program information matching the interests of individual user has been required, to consolidate the meaning of various program information since there is no way to describe, it has not been put into practical use.

【0004】本発明は上記の問題点に鑑みてなされたものであり、多様な情報源の中から使用者が関心のある情報源を自動的に抽出することができるようにして、使用者を情報源選択のための情報検索作業から解放し、使用者が必要としている情報源の見落しの可能性を小さくする自動情報源選択装置を提供することを目的とする。 [0004] The present invention has been made in view of the above problems, and to be able to automatically extract user information sources of interest from a variety of sources, the user Free of information search operation for the information source selected, and to provide an automatic source selection device to reduce the possibility of oversight of information sources the user is required.

【0005】 [0005]

【課題を解決するための手段】上記の目的を達成するために、本発明による自動情報源選択装置は、複数の情報源データを記憶してあるデータベースと、前記データベースに記憶された情報源データの内、使用者が選択した情報源データの履歴から使用者の関心内容を学習する学習手段と、前記学習手段による学習内容に基づいて使用者の関心に合致する情報源データに対応する情報源を自動的に選択する選択手段とを備える。 To achieve the above object, according to the Invention The automatic source selecting apparatus according to the present invention includes a database that stores a plurality of information sources data, source data stored in said database of the information source by a user and learning means for learning an interest contents of the user from the history of the information source data selected, corresponds to the information source data that matches the interests of the user based on the learning content by said learning means the and selecting means for automatically selecting.

【0006】 [0006]

【作用】上記の構成において、過去に使用者が選択した情報源の内容を記憶し、使用者の個性との間に経験的な関係付けを行い、使用者の関心に合致した情報源を自動的に選択する。 [Action] In the above configuration, and stores the contents of the source of information the user has selected in the past, carried out an empirical relationship with between the personality of the user, the information source that matches the interest of the user Auto to be selected.

【0007】 [0007]

【実施例】以下に添付の図面を参照して本発明の好適な実施例を説明する。 EXAMPLES With reference to the accompanying drawings illustrating the preferred embodiments of the present invention.

【0008】<実施例1>本実施例では、情報源としてテレビ、ラジオ等の公共放送による番組を例にとって説明する。 [0008] In <Example 1> In the present embodiment, the television as a source of information, will be described as an example of the program by public broadcasting of radio and the like.

【0009】図1は実施例の番組セレクタを示す。 [0009] Figure 1 shows the program selector examples. オートモード選択スイッチ1がオフの場合、記憶・自動選択動作は行われず、チャンネルを指示する入力部2の信号に基づいて、操作部3を経由してチャンネル選択動作部4にチャンネル選択信号が送られ、番組の選択が実施される。 If the automatic mode selection switch 1 is off, the memory-automatic selection operation is not performed, based on a signal input section 2 which instructs the channel, feeding the channel selection signal to the channel selection operation unit 4 via the operation section 3 is, selection of a program is performed.

【0010】オートモード選択スイッチ1がオンの場合、学習モードと自動選択モードが一定の時間間隔で交互に行われる。 [0010] If the automatic mode selection switch 1 is turned on, learning mode and an automatic selection mode are alternately performed at predetermined time intervals. 学習モードの場合、次のように記憶動作が行われる。 For learning mode, storage operation is performed as follows. まず、学習データ入力経路8を経由する操作部3からのチャンネルデータが記憶部7へ送られる。 First, channel data from the operation unit 3 via the learning data input path 8 is sent to the storage unit 7.
記憶部7は図2に示すようなニューラルネット回路を有している。 Storage unit 7 has a neural network circuit shown in FIG. 番組データベース5には既に見た番組情報が放送時間帯とともに記憶されている。 Program information already seen in the program database 5 is stored along with the broadcast time zone. そして、この番組データベース5からは番組情報が、時計6からは視聴時間データが記憶部7へ送られる。 Then, the program information from the program database 5, from clock 6 viewing time data is sent to the storage unit 7. これらのデータを基に、これまで見た番組情報(番組名、番組ジャンル、テーマ、出演者、イベントetc.)を入力可能な形に因子化し、記憶部7の対応するニューロンを発火させる。 Based on these data, program information ever seen (program name, program genre, theme, performers, events etc.) and factoring in the fillable form and ignite corresponding neurons of the storage unit 7.
また、その番組を実際に視聴した時間がサンプリング回数頻度の形で入力される。 Also, time viewing the program actually is input in the form of sampling times frequency. この入力データの発火が図2 Ignition of the input data is 2
における出力層13の使用者の関心度ニューロンを発火させるよう記憶部7のニューロン結合の重み付けを変化させることで記憶を形成させる。 To form a memory by changing the weighting of neuronal connections in the storage unit 7 so as to ignite the user of interest neurons of the output layer 13 in.

【0011】自動選択モードの場合、この学習が終わったニューラルネット回路を持つ記憶部7に、自動選択モードを作動させる時間帯における全番組の情報を、順次番組データベース5から入力する。 [0011] When the automatic selection mode, the storage unit 7 with the neural network circuit this learning is finished, the information of all programs in the time period for operating the automatic selection mode, inputs sequentially from the program database 5. これら入力された全番組データの中から、記憶部7にある使用者の関心度ニューロンの発火が強いものを選ぶことで、使用者の関心が強い番組を選択することが可能である。 From all program data these input, ignition of the user's interest level neurons in the storage unit 7 that chooses stronger, it is possible to interest the user selects the strong program. そして、選択した結果をチャンネル選択動作部4に判断データ出力経路9を経由して伝達し、放送中あるいは開始直前の番組の選択の場合はチャンネル変更の指示をしたり、選択した番組が放送時間帯に映るように予約設定したり、選択された番組の情報を表示部10に表示したりする。 Then, transmitted via the determined data output path 9 the result of selection to the channel selection operation unit 4, or an indication of the channel change when the selection of the broadcast during or immediately before the start of the program, the program is broadcast time selected or reservation setting to project the band, or displays on the display unit 10 the information of the selected program.

【0012】図2は学習を行うニューラルネットの結合の様子を示すモデルの1例を示す図である。 [0012] FIG. 2 is a view showing an example of a model showing how binding of neural network for learning. ニューラルネットのモデルとして、ここでは多層型のモデルを使用する。 As a model of a neural network, is used here a multi-layer model of. これは番組情報を記述するn個の入力層11、m It describes the program information n input layer 11, m
個の中間層12、1個の出力層13から成る。 Consisting pieces of interlayer 12,1 single output layer 13. 記憶の学習は入力データに対して出力層13にある使用者の関心度ニューロンが強く発火するように入力層11と中間層12の間及び中間層12と出力層13の間のニューロン結合の重み付けを変更することで実行される。 Weighting of neuronal connections between the learning memories and between the intermediate layer 12 of the input layer 11 and the intermediate layer 12 as interest neurons user in the output layer 13 to the input data is fired strongly output layer 13 It is performed by changing the. このようにして使用者の番組選択に関する個性が記憶部7に記憶される。 Thus personality relating to the program selection of the user is stored in the storage unit 7.

【0013】以上のようにして、本実施例は使用者が選んだ番組のうち、意味のレベルが異なる内容を学習する手段としてニューラルネットを設けることにより、番組を選択するうえで多様な番組情報から形成される使用者の個性を装置に記憶させたものである。 [0013] As described above, this embodiment of the program chosen by the user, by the level of meaning provided a neural network as a means of learning the different contents, various program information in selecting a program in which it has been stored in the apparatus the personality of the user formed from. ニューラルネットは数値化して相関をとることが困難なデータ群の関係をブラックボックス化して学習を行い関係付けをするもので、論理的な構造化や一般的な関係付けが困難な人間の個性にかかわるようなデータを取り扱う時に有効な手段である。 Neural nets intended to digitized to association learns to black box to the difficult data set relationship correlating, the logical structure of and general relationship with the difficult human personality is an effective means when dealing with data, such as involved. このニューラルネットにより、これまで困難であった互いに関連を持ちながらその関連が論理的に記述できない多様な番組情報の意味を学習できるようになり、使用者の個性の記述が可能となるのである。 This neural net, which up to that associated with having an associated one another which was difficult to be able to learn the meaning of the various program information that can not be logically described, it become possible to describe the personality of the user.

【0014】以上説明してきたように本実施例1によれば、ヒューマンテクノロジーの観点から、番組情報の意味を利用者個人の関心に合致した形で、経験的な関係付けを行うニューラルネットを用いて、これまでに使用者が選んだ番組の情報を記憶させることによって、誰もが簡単に自分が興味を持つ番組に自動的にアクセスできる装置が提供される。 [0014] According to the present embodiment 1 as has been described above, from the point of view of human technology, in the form that matches the meaning of the program information in the interest of the individual user, using a neural network to perform the empirical relationship with Te, by storing the information of the user chose program so far, everyone is automatically accessible equipment to the program is provided easily with myself interested.

【0015】<実施例2>実施例2では、学習手段としてエキスパートシステムを用いる。 [0015] <Example 2> In Example 2, using an expert system as the learning means. この場合学習後の記憶に該当するのは知識ベースであり、番組選択履歴データから知識ベースを構築するソフトウェア・ツールを用意する。 In this case is the knowledge base to correspond to the memory after learning, to provide a software tool to build a knowledge base from the program selection history data. 記憶の用途と作用については実施例1と同様である。 The purpose and effect of the storage are the same as in the first embodiment. ただしこの場合、履歴データの項目を絞り、その頻度によって他の項目とは無関係に記憶内容を構成するため、実施例1の簡易版となる。 However, in this case, stop the entry in the history data, to configure the independent storage contents of the other fields by the frequency, the simplified version of Example 1.

【0016】以上説明してきたように本実施例によれば、多様な番組の中から自分が関心ある番組を自動的に抽出することができ、番組選択の情報検索から解放され、かつ、特別に番組検索に労力をかけることなく見落としの可能性を小さくする番組選択装置が提供される。 According to the present embodiment as has been described above, it is possible to automatically extract program he is interested from among a variety of programs, it is released from the information retrieval program selection, and specially program selecting apparatus to reduce the possibility of oversight without imposing labor program search is provided.

【0017】尚、上記の実施例においては、情報源としてテレビ、ラジオ等の公共放送を例にとって説明してあるがこれに限られるものではない。 [0017] In the above embodiments, and are not intended television, but the public broadcasting such as a radio are described as an example is not limited to this as a source of information.

【0018】また、本発明は、複数の機器から構成されるシステムに適用しても1つの機器から成る装置に適用しても良い。 Further, the present invention may be applied to an apparatus comprising a single device may be applied to a system constituted by a plurality of devices. また、本発明は、システム或は装置にプログラムを供給することによって達成される場合にも適用できることはいうまでもない。 Further, the present invention can also be applied to a case where it is accomplished by supplying a program to a system or an apparatus.

【0019】 [0019]

【発明の効果】以上説明してきたように本発明によれば、多様な情報源の中から使用者が関心のある情報源を自動的に抽出することができ、情報源選択のための情報検索作業から解放され、見落としの可能性を小さくする効果がある。 According to the present invention as has been described above, according to the present invention, it is possible to automatically extract the user information source of interest from a variety of sources, information retrieval for the information source selected is released from the work, there is an effect to reduce the possibility of oversight.

【図面の簡単な説明】 BRIEF DESCRIPTION OF THE DRAWINGS

【図1】番組セレクタの構成を示すブロック図である。 1 is a block diagram showing the program selector arrangement.

【図2】多層型ニューラルネットのモデル例を表す図である。 2 is a diagram representing a model example of a multilayer neural network.

【符号の説明】 DESCRIPTION OF SYMBOLS

1 オートモード選択スイッチ 2 入力部 3 操作部 4 チャンネル選択動作部 5 番組データベース 6 時計 7 記憶部 8 学習データ入力経路 9 判断データ出力経路 10 使用者の個性に合う番組を選択した結果を示す表示部 11 n個の入力ニューロンからなる入力層 12 m個のニューロンからなる中間層 13 1個の出力ニューロンからなる出力層 Display unit showing an automatic mode selection switch 2 input section 3 operating unit 4 channel selection operation unit 5 program database 6 Clock 7 storage unit 8 learning data input paths 9 determines the data output path 10 the result of selecting the program to suit the personality of the user output layer consisting of 11 n-number of and an input layer 12 m neurons consisting input neuron intermediate layer 13 one output neuron

───────────────────────────────────────────────────── フロントページの続き (72)発明者 松岡 宏 東京都大田区下丸子3丁目30番2号 キヤ ノン株式会社内 (72)発明者 小俣 智司 東京都大田区下丸子3丁目30番2号 キヤ ノン株式会社内 ────────────────────────────────────────────────── ─── of the front page continued (72) inventor Hiroshi Matsuoka Ota-ku, Tokyo Shimomaruko 3-chome No. 30 No. 2 Canon within Co., Ltd. (72) inventor Satoshi Omata Ota-ku, Tokyo Shimomaruko 3-chome No. 30 No. 2 Canon the Corporation

Claims (2)

    【特許請求の範囲】 [The claims]
  1. 【請求項1】 複数の情報源データを記憶してあるデータベースと、 前記データベースに記憶された情報源データの内、使用者が選択した情報源データの履歴から使用者の関心内容を学習する学習手段と、 前記学習手段による学習内容に基づいて使用者の関心に合致する情報源データに対応する情報源を自動的に選択する選択手段とを備えることを特徴とする自動情報源選択装置。 And 1. A database that stores a plurality of information sources data, among the information source data stored in the database, learning the user to learn the interests contents of the user from the history of the information source data selected means and the automatic source selection device characterized by comprising a selection means for automatically selecting the information sources corresponding to the information source data that matches the interests of the user based on the learning content by the learning means.
  2. 【請求項2】 前記情報源は、特に公共放送による番組であることを特徴とする請求項1に記載の自動情報源選択装置。 Wherein said sources, automatic source selection system according to claim 1, characterized in that particularly the program by public broadcasting.
JP4113483A 1992-05-06 1992-05-06 Automatic information source selector Withdrawn JPH05314186A (en)

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