Personalized restaurant recommending method combined to situational information
A technology of contextual information and recommendation methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as not considering the impact of users' short-term preferences, and achieve the effect of improving accuracy
Inactive Publication Date: 2018-04-20
SUN YAT SEN UNIV
View PDF5 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, existing recommendation systems do not consider the impact of such contextual information on users' short-term preferences.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0024] The present invention will be further described below in conjunction with specific embodiment:
[0025] See attached figure 1 As shown, a personalized restaurant recommendation method combined with context information described in this embodiment includes establishing a rule base, a cold start phase, and a user data analysis phase.
[0026] Among them, the established rule base contains short-term preference rules and fixed preference rules;
[0027] In the cold start phase, due to the lack of historical data and user feedback scores in the cold start phase, coupled with the large number of discrete restaurant attributes, and the low tolerance of mobile end users to complex operations, this embodiment chooses a rule-based algorithm to provide New users provide recommendations such as figure 2 As shown, the specific process is as follows:
[0028] First match the context information with the short-term preference rules in the rule base to obtain the user's short-term...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a personalized restaurant recommending method combined to situational information. The personalized restaurant recommending method combined to situational information comprises the following steps: rule base establishment, cold starting stage and user data analysis stage. The established rule base contains a short-term preference rule and a fixed preference rule. In the cold starting stage, cold data are used for recommending for new users, the users input less and even do not input in the cold starting stage to the greatest extent, and thus, the operation complexity of mobile users is reduced. In the user data analysis stage, the method is combined to abundant situation information including the environment, weather conditions and time seasons, and the most effective recommending is provided for the users according to the short-term preference and the fixed preference of the users. When enough data are accumulated in a system, a recommending result is improvedby a collaborative filtering algorithm. The method is combined to the situational information, a cold starting problem of the system is considered, the collaborative filtering algorithm and a recommending algorithm based on rules are used, and thus, the accuracy of recommending personalized restaurants for the users is greatly improved.
Description
technical field [0001] The invention relates to the technical field of information recommendation, in particular to a personalized restaurant recommendation method combined with context information. Background technique [0002] With the popularity of the Global Positioning System (GPS) and the rapid development of mobile terminal technology, location-based services (LBS) are more and more widely used in work and daily life environments. The location-based service obtains the location information of the mobile terminal user through the radio communication network (such as GSM network, CDMA network) or external positioning method (such as GPS) of the telecom mobile operator. With the support of the geographic information system platform, it can Users provide appropriate information services. In China, mobile apps such as Dianping, which provide consumers with location-based service recommendations including catering, hotels, tourism, leisure and entertainment, are becoming mo...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 郑子彬陶鹏周晓聪
Owner SUN YAT SEN UNIV