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Rating prediction based project recommending method for time-sequence control and system thereof

A technology of item recommendation and time sequence control, applied in the field of information filtering, can solve the problems of not being able to reflect the change of user's interest in recommended items over time, and the inability to determine the best time for recommended items.

Inactive Publication Date: 2010-08-25
NEC (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this system still cannot reflect the change of user interest in recommended items over time
That is, the system cannot determine when is the best time to recommend the item to the user

Method used

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  • Rating prediction based project recommending method for time-sequence control and system thereof
  • Rating prediction based project recommending method for time-sequence control and system thereof
  • Rating prediction based project recommending method for time-sequence control and system thereof

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0040] FIG. 3 is a block diagram showing the internal structure of an item recommendation system 300 according to the first embodiment of the present invention. As shown in FIG. 3 , the overall structure of the system 300 is similar to that of the system 200 shown in FIG. 2A , the difference being that the internal structure of the timing scoring model determining device 202 is further shown in detail. In FIG. 3 , the time-series scoring model determining device 202 may include an item classification unit 2021 , a time-series scoring model selection unit 2022 and a time-series scoring model storage 2023 .

[0041] FIG. 5 is a flowchart illustrating the operation of the system 300 shown in FIG. 3 . For the convenience of description, this specification also shows Fig. 4A and Fig. 4B, wherein Fig. 4A is a schematic diagram for illustrating the structure of a time series scoring model set, and Fig. 4B is a schematic diagram for illustrating the selection of a recommendation strat...

no. 2 example

[0047] FIG. 6 is a block diagram showing an internal structure of an item recommendation system 600 according to a second embodiment of the present invention. The system 600 is basically similar to the system 300 shown in FIG. 3 , the only difference being that the timing scoring model determination device 202 in the system 600 includes a user preference information input unit 601 and an adjustment unit 602 in addition to the components shown in FIG. 3 , to It is used to adjust the selected time-series scoring model according to the preference information of different users, so that the final optimal recommendation time of the item can adapt to the needs of different users. The "user preference information" mentioned here can be easily obtained according to the user's schedule, behavior tracking records or other resources.

[0048] FIG. 7A is a schematic diagram for explaining the process of adjusting the time-series scoring model according to user preference information. In ...

no. 3 example

[0052] FIG. 8A is a block diagram showing an internal structure of an item recommendation system 800 according to a third embodiment of the present invention, and FIG. 8B is a flowchart showing an operation procedure of the system 800 shown in FIG. 8A.

[0053] This third embodiment is similar to the system 600 described in the above-mentioned second embodiment, the difference is that there is no need to input user preference information, but the user's personalized item recommendation is obtained by collecting the user's feedback information on the received items need.

[0054] As shown in Fig. 8A, besides the components already shown in the first and second embodiments, the timing scoring model determination device 202 in the system 800 also includes a user feedback information storage 801, which is used to store the user's feedback on the received The feedback information of the item recommendation, and the adjustment unit 802 are used to adjust the selected time series sco...

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PUM

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Abstract

The invention provides a rating prediction based project recommending method for time-sequence control and a system thereof. The corresponding project recommending method comprises the following steps: inputting a project to be recommended; determining a time-sequence rating model related to the project, wherein the time-sequence rating model is used for predicting rating changes of the project along with time; applying one or more recommending policies to the determined time-sequence rating model to determine a preference recommending time of the project; and recommending the project for a user at the determined preference recommending time. In different embodiments, the time-sequence rating model of the project can be selected from a pre-saved time-sequence rating model set, or is automatically generated according to historic data of the system. Furthermore, the selected time-sequence rating model can be adjusted according to user preferred information or feedback information. The project recommending system considers that the interest of users in recommended projects changes along with time so as to increase the recommending efficiency and improve user experience.

Description

technical field [0001] The present invention relates generally to information filtering, and more particularly to an item recommendation method and system that enables time-sequence-controlled item recommendation based on rating prediction. Background technique [0002] Recommender systems have been used in various industries for more than a decade. For a given user, a recommender system can collect and record information about the user's profile and predict items that the user may be interested in. The "description" mentioned here can be various personal information of the user, such as age, education level, hobbies, answers to some given questions, votes (or ratings) on certain items, web browsing history, online Purchase records and more. The item prediction of a recommender system can be performed based on some predetermined rules, statistical models or machine learning algorithms. [0003] Recently, recommender systems have been increasingly applied to web and mobile...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/00G06F3/048G06Q30/02G06Q30/06G06Q50/00
CPCG06F17/3087G06Q30/02G06F16/9537
Inventor 赵岷福岛俊一
Owner NEC (CHINA) CO LTD
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