Product recommendation method and device for agricultural material e-commerce platform
A product recommendation, e-commerce platform technology, applied in business, instrument, buying/selling/lease transactions, etc., can solve the problem of ignoring the particularity of agricultural materials e-commerce platform
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Embodiment 1
[0056] Such as figure 1 As shown, the embodiment of the present invention provides a commodity recommendation method for an agricultural material e-commerce platform, the method comprising the following steps:
[0057] S101 According to the user's regional information and access time, acquire at least one first associated tag group with corresponding time season intervals and regional intervals.
[0058] Specifically, the association tag group includes a season interval, a region interval, a usage tag, a category tag, and a crop tag. There are multiple sets of associated tag groups at the same time. The geographical intervals are pre-divided and set according to the national geographical conditions, planting habits or characteristic planting areas. Season intervals are based on traditional solar terms and crop planting habits, dividing a year into several intervals. Multiple association label groups may have the same geographic interval but different seasonal intervals. Si...
Embodiment 2
[0078] This embodiment is a further optimization of Embodiment 1, and provides another product recommendation method for an agricultural materials e-commerce platform. The optimization in this embodiment is specifically as follows:
[0079] Such as figure 2 As shown, step S101 is a step of acquiring at least one first associated tag group with corresponding time season intervals and regional intervals according to the user's regional information and access time, specifically including:
[0080] S201 Obtain a forecasted time interval within a preset time period after the user's access time.
[0081] For example, if the user visits in February, the forecast period ranges from February to May.
[0082] S202 Screening a plurality of second associated label groups according to the predicted time season intervals, where the time season intervals in the second associated label groups and the predicted time season intervals include each other or completely overlap or partially overl...
Embodiment 3
[0090] Such as image 3 As shown, this embodiment is a further optimization of Embodiment 1, and provides another commodity recommendation method for an agricultural materials e-commerce platform. The method specifically includes the following steps:
[0091] S301 According to the historical behavior data, regional information, behavior time information of all historical users operating commodities, product information of operating commodities, and product names, category tags, usage tags, and crop tags corresponding to the product information, construct an associated tag group.
[0092] S302 According to the user's regional information and access time, acquire at least one first associated tag group with corresponding time season intervals and regional intervals.
[0093]S303 Acquire at least one corresponding first information tag group according to the usage tag, category tag, and crop tag in the first associated tag group.
[0094] S304 Filter out a corresponding commodit...
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