JP2017076376A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2017076376A5 JP2017076376A5 JP2016177790A JP2016177790A JP2017076376A5 JP 2017076376 A5 JP2017076376 A5 JP 2017076376A5 JP 2016177790 A JP2016177790 A JP 2016177790A JP 2016177790 A JP2016177790 A JP 2016177790A JP 2017076376 A5 JP2017076376 A5 JP 2017076376A5
- Authority
- JP
- Japan
- Prior art keywords
- information
- history
- selection
- selection target
- behavior
- 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.)
- Granted
Links
- 238000004364 calculation method Methods 0.000 claims 31
- 238000000034 method Methods 0.000 claims 9
- 241000406668 Loxodonta cyclotis Species 0.000 claims 1
- 230000003542 behavioural Effects 0.000 claims 1
Claims (20)
前記行動情報のうち、所定の選択対象に関するコンテンツへのリンクの選択履歴を示す行動情報と、前記入力情報のうち、前記所定の選択対象に関連する検索クエリの履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出部と
を有することを特徴とする算出装置。 A search entered by the user as input information , which is information input by the user, as well as acquiring a link selection history to the content related to the selection target as behavior information indicating the user's behavior history regarding selection of the selection target An acquisition unit for acquiring a history of a query ;
Among the action information, the action information indicating the selection 択履 history of links to content for a given selection, among the input information, by using the history of the search query associated with said predetermined selection, the And a calculation unit that calculates a priority when presenting a predetermined selection target.
前記行動情報のうち、所定の選択対象に関するコンテンツへのリンクの選択履歴を示す行動情報と、前記入力情報のうち、前記所定の選択対象に関連する投稿情報の履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出部と
を有することを特徴とする算出装置。 As the behavior information indicating the history of the user's behavior related to the selection of the selection target, the selection history of the link to the content related to the selection target is acquired, and the user inputs the information on the web as the input information that the user has input. An acquisition unit for acquiring a history of posted information ;
Among the action information, the action information indicating the selection 択履 history of links to content for a given selection, among the input information, by using the history of the post information relating to the predetermined selection, the And a calculation unit that calculates a priority when presenting a predetermined selection target.
ことを特徴とする請求項1または2に記載の算出装置。 The said acquisition part acquires the information which shows the log | history of the selection target which the user selected from the selection targets contained in the result of web search as said action information. Calculation device.
前記算出部は、前記所定の選択対象に関連する情報を含む入力情報と、当該所定の選択対象と紐付られた行動情報とを用いて、当該所定の選択対象の優先度を算出する
ことを特徴とする請求項1〜3のうちいずれか1つに記載の算出装置。 Among the behavior information acquired by the acquisition unit, the behavior information indicating the history of the user's behavior related to the selection of a predetermined selection target, and a linking unit that links the predetermined selection target,
The calculation unit calculates a priority of the predetermined selection target using input information including information related to the predetermined selection target and behavior information associated with the predetermined selection target. The calculation device according to any one of claims 1 to 3.
前記紐付部は、選択されたリンクが示すウェブページと関連する選択対象を特定し、特定した選択対象と、当該ウェブページへのリンクを選択する操作を示す行動情報とを紐付ける
ことを特徴とする請求項4に記載の算出装置。 The acquisition unit acquires, as the behavior information, information indicating a link selected by the user among links included in a web search result,
The associating unit identifies a selection target related to the web page indicated by the selected link, and associates the identified selection target with action information indicating an operation for selecting a link to the web page. The calculation device according to claim 4.
前記算出部は、所定の取引対象に関連する情報を含む入力情報と、当該所定の取引対象と紐付られた行動情報とを用いて、当該所定の取引対象の優先度を算出する
ことを特徴とする請求項5に記載の算出装置。 The associating unit identifies a transaction target to be a target of electronic commerce in the web page indicated by the selected link, and associates the identified transaction target with behavior information indicating an operation for selecting a link to the web page. And
The calculation unit calculates the priority of the predetermined transaction object using input information including information related to the predetermined transaction object and behavior information associated with the predetermined transaction object. The calculation device according to claim 5.
前記算出部は、前記所定の選択対象と紐付られた行動情報と、当該行動情報に含まれる選択クエリに関連する情報を含む入力情報とを用いて、当該所定の選択対象の優先度を算出する
ことを特徴とする請求項5または6に記載の算出装置。 The acquisition unit includes, as the behavior information, a selection query that is a search query used for the web search, and information indicating a link selected from links included in a web search result using the selection query. Get a pair,
The calculation unit calculates the priority of the predetermined selection target using behavior information associated with the predetermined selection target and input information including information related to a selection query included in the behavior information. The calculation device according to claim 5 or 6, wherein
前記行動情報のうち、所定の選択対象の購入履歴である行動情報と、前記入力情報のうち、前記所定の選択対象に関連する検索クエリの履歴又は当該選択対象に関連する投稿情報の履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出部と
を有することを特徴とする算出装置。 The purchase history of the selection target is acquired as the behavior information indicating the history of the user's behavior related to the selection of the selection target, and the history or use of the search query input by the user as the input information which is the information input by the user An acquisition unit that acquires a history of post information posted by the person on the web;
Among the behavior information, behavior information which is a purchase history of a predetermined selection target, and among the input information, a history of a search query related to the predetermined selection target or a history of post information related to the selection target. And a calculation unit that calculates a priority when presenting the predetermined selection target.
ことを特徴とする請求項1〜8のうちいずれか1つに記載の算出装置。 The acquisition unit, as the selection target, calculating apparatus according to any one of claims 1-8, characterized in that to obtain the transactions subject vs. behavioral information about the elephant electronic commerce.
ことを特徴とする請求項1〜9のうちいずれか1つに記載の算出装置。 For each set of the predetermined selection target and the characteristics of the predetermined selection target, the calculation unit relates to behavior information indicating a history of user behavior related to selection of the predetermined selection target and the set The calculation device according to any one of claims 1 to 9 , wherein the priority is calculated using input information including information.
ことを特徴とする請求項1〜10のうちいずれか1つに記載の算出装置。 The calculation unit calculates a first index serving as a motivation index for a user to select the predetermined selection target from the behavior information, and inputs the predetermined index from input information including information indicating the predetermined selection target Calculating a second index that is an index of topicality of the selection target, and calculating a priority of the predetermined selection target using the first index and the second index. The calculation device according to any one of claims 1 to 10 .
ことを特徴とする請求項11に記載の算出装置。 The calculation unit calculates, for each selection target, a sum of a value obtained by adding a predetermined parameter to the first index and a value obtained by adding a predetermined parameter to the second index, and a value of the calculated sum The calculation device according to claim 11 , wherein a priority for each of the selection targets is calculated based on the distribution of.
ことを特徴とする請求項12に記載の算出装置。 The calculation unit learns a model for calculating the priority from the calculated sum value using the distribution of the calculated sum value as a feature, and calculates the priority for each selection target using the learned model calculating apparatus according to claim 1 2, characterized by.
前記算出部は、前記所定の選択対象の選択に関する利用者の行動の履歴を示す行動情報と、前記所定の選択対象に関連する情報を含む検索クエリの候補とに基づいて、当該行動情報が示す行動が行われた位置に応じた重みづけを考慮して、当該所定の選択対象の優先度を算出する
ことを特徴とする請求項1〜13のうちいずれか1つに記載の算出装置。 The acquisition unit acquires a set of the behavior information and a position where the behavior indicated by the behavior information is performed,
The calculation unit indicates, based on behavior information indicating a history of a user's behavior regarding selection of the predetermined selection target, and search query candidates including information related to the predetermined selection target. behavior taking into account the weighting according to the location is performed, calculating apparatus according to any one of claims 1 to 1 3, characterized in that to calculate the priority of the given selection.
選択対象の選択に関する利用者の行動の履歴を示す行動情報として、選択対象に関するコンテンツへのリンクの選択履歴を取得するとともに、利用者が入力した情報である入力情報として、利用者が入力した検索クエリの履歴を取得する取得工程と、
前記行動情報のうち、所定の選択対象に関するコンテンツへのリンクの選択履歴を示す行動情報と、前記入力情報のうち、前記所定の選択対象に関連する検索クエリの履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出工程と
を含むことを特徴とする算出方法。 A calculation method executed by a calculation device,
A search entered by the user as input information , which is information input by the user, as well as acquiring a link selection history to the content related to the selection target as behavior information indicating the user's behavior history regarding selection of the selection target An acquisition process for acquiring the history of the query ;
Among the action information, the action information indicating the selection 択履 history of links to content for a given selection, among the input information, by using the history of the search query associated with said predetermined selection, the And a calculating step of calculating a priority when presenting a predetermined selection target.
前記行動情報のうち、所定の選択対象に関するコンテンツへのリンクの選択履歴を示す行動情報と、前記入力情報のうち、前記所定の選択対象に関連する検索クエリの履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出手順と
をコンピュータに実行させることを特徴とする算出プログラム。 A search entered by the user as input information , which is information input by the user, as well as acquiring a link selection history to the content related to the selection target as behavior information indicating the user's behavior history regarding selection of the selection target Get procedure to get query history ,
Among the action information, the action information indicating the selection 択履 history of links to content for a given selection, among the input information, by using the history of the search query associated with said predetermined selection, the A calculation program for causing a computer to execute a calculation procedure for calculating a priority when presenting a predetermined selection target.
選択対象の選択に関する利用者の行動の履歴を示す行動情報として、選択対象に関するコンテンツへのリンクの選択履歴を取得するとともに、利用者が入力した情報である入力情報として、利用者がウェブ上に投稿した投稿情報の履歴を取得する取得工程と、As the behavior information indicating the history of the user's behavior related to the selection of the selection target, the selection history of the link to the content related to the selection target is acquired, and the user inputs the information on the web as the input information that the user has input. An acquisition process for acquiring a history of posted information,
前記行動情報のうち、所定の選択対象に関するコンテンツへのリンクの選択履歴を示す行動情報と、前記入力情報のうち、前記所定の選択対象に関連する投稿情報の履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出工程とOf the behavior information, the behavior information indicating the selection history of the link to the content related to the predetermined selection target, and the post information related to the predetermined selection target among the input information, the predetermined information is used. A calculation step for calculating a priority when presenting a selection target;
を含むことを特徴とする算出方法。The calculation method characterized by including.
前記行動情報のうち、所定の選択対象に関するコンテンツへのリンクの選択履歴を示す行動情報と、前記入力情報のうち、前記所定の選択対象に関連する投稿情報の履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出手順とOf the behavior information, the behavior information indicating the selection history of the link to the content related to the predetermined selection target, and the post information related to the predetermined selection target among the input information, the predetermined information is used. A calculation procedure for calculating the priority when presenting the selection target;
をコンピュータに実行させることを特徴とする算出プログラム。A calculation program for causing a computer to execute.
選択対象の選択に関する利用者の行動の履歴を示す行動情報として、選択対象の購入履歴を取得するとともに、利用者が入力した情報である入力情報として、利用者が入力した検索クエリの履歴又は利用者がウェブ上に投稿した投稿情報の履歴を取得する取得工程と、The purchase history of the selection target is acquired as the behavior information indicating the history of the user's behavior related to the selection of the selection target, and the history or use of the search query input by the user as the input information which is the information input by the user An acquisition process for acquiring a history of post information posted by the person on the web;
前記行動情報のうち、所定の選択対象の購入履歴である行動情報と、前記入力情報のうち、前記所定の選択対象に関連する検索クエリの履歴又は当該選択対象に関連する投稿情報の履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出工程とAmong the behavior information, behavior information which is a purchase history of a predetermined selection target, and among the input information, a history of a search query related to the predetermined selection target or a history of post information related to the selection target. And a calculating step for calculating a priority when presenting the predetermined selection target;
を含むことを特徴とする算出方法。The calculation method characterized by including.
前記行動情報のうち、所定の選択対象の購入履歴である行動情報と、前記入力情報のうち、前記所定の選択対象に関連する検索クエリの履歴又は当該選択対象に関連する投稿情報の履歴とを用いて、当該所定の選択対象を提示する際の優先度を算出する算出手順とAmong the behavior information, behavior information which is a purchase history of a predetermined selection target, and among the input information, a history of a search query related to the predetermined selection target or a history of post information related to the selection target. And a calculation procedure for calculating a priority when presenting the predetermined selection target,
をコンピュータに実行させることを特徴とする算出プログラム。A calculation program for causing a computer to execute.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2016177790A JP6664580B2 (en) | 2016-09-12 | 2016-09-12 | Calculation device, calculation method and calculation program |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2016177790A JP6664580B2 (en) | 2016-09-12 | 2016-09-12 | Calculation device, calculation method and calculation program |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2015202440A Division JP6007300B1 (en) | 2015-10-13 | 2015-10-13 | Calculation device, calculation method, and calculation program |
Publications (3)
Publication Number | Publication Date |
---|---|
JP2017076376A JP2017076376A (en) | 2017-04-20 |
JP2017076376A5 true JP2017076376A5 (en) | 2018-10-25 |
JP6664580B2 JP6664580B2 (en) | 2020-03-13 |
Family
ID=58550317
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2016177790A Active JP6664580B2 (en) | 2016-09-12 | 2016-09-12 | Calculation device, calculation method and calculation program |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP6664580B2 (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6879982B2 (en) * | 2018-09-07 | 2021-06-02 | ヤフー株式会社 | Information processing device, learning device, information processing method, generation method, and program |
JP7074031B2 (en) * | 2018-11-15 | 2022-05-24 | トヨタ自動車株式会社 | Information providing equipment, information providing method and program |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4917061B2 (en) * | 2007-12-18 | 2012-04-18 | 日本電信電話株式会社 | Characteristic keyword detection apparatus, characteristic keyword detection method, program, and recording medium |
JP5451673B2 (en) * | 2011-03-28 | 2014-03-26 | ヤフー株式会社 | Search ranking generation apparatus and method |
-
2016
- 2016-09-12 JP JP2016177790A patent/JP6664580B2/en active Active
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20140282105A1 (en) | Motion Data Sharing | |
JP2017073160A5 (en) | ||
Yang et al. | Assessment of construction workers’ labor intensity based on wearable smartphone system | |
Jensen et al. | Running with technology: Where are we heading? | |
JP2014501004A5 (en) | ||
JP2016523402A5 (en) | ||
JP2017519285A5 (en) | ||
JP2015505629A (en) | Information search method and server | |
CN104462554B (en) | Question and answer page relevant issues recommended method and device | |
JP6640068B2 (en) | User interface information providing device, user interface changing device, user interface information providing method, user interface changing method, and program | |
CN105119744B (en) | The incidence relation judgment method and device of user identifier | |
JP2017076376A5 (en) | ||
Dadswell et al. | Biomechanical analysis of the change in pistol shooting format in modern pentathlon | |
JP2015533245A5 (en) | ||
WO2021047376A1 (en) | Data processing method, data processing apparatus and related devices | |
JP2019212034A5 (en) | ||
CN108074071A (en) | A kind of project data processing method and processing device | |
CN103823667A (en) | Method and system for automatic turning of value-series analysis tasks based on visual feedback | |
JPWO2021079436A5 (en) | ||
WO2017212552A1 (en) | Data processing device, data processing method, and data processing program | |
JP2013033467A5 (en) | ||
JP2009176075A5 (en) | ||
JP2007325312A5 (en) | ||
RU2015126019A (en) | METHOD, ELECTRONIC DEVICE AND BROWSER HISTORY ORGANIZATION SERVER | |
Gitagia | Fundamentals that predict mutual fund performance: a case of fund managers in Kenya |