(2) Each individual can change the surrounding environment by releasing pheromones, and each individual can perceive the real-time changes of the surrounding environment, and individuals communicate indirectly through the environment.
(3) The search process adopts distributed computing mode, and multiple individuals perform parallel computing at the same time, which greatly improves the computing power and operating efficiency of the algorithm.
(4) Heuristic probabilistic search method is not easy to fall into local optimum, and it is easy to find the global optimal solution.
Therefore, it is simply a method that can find the optimal path like an ant colony. The ultimate goal of Amazon's search engine is similar, which is to recommend products that customers have the greatest probability to buy to users through different keyword.
after understanding this, do you have any new inspiration for Amazon keyword optimization?
The factors that affect the ranking are mainly divided into product weight and store weight.
product weight = conversion rate+expected conversion rate+return rate +Review score, store weight = store Feedback and other health indicators, from which we can see that conversion rate is an important factor affecting the ranking.
after understanding the principle of Amazon keyword setting, combined with the conversion rate, we can achieve the maximum optimization of Amazon keywords. Moreover, when setting keywords, we should think with a path planning logic like ant colony, instead of what you call "accuracy" or "conformity".
So, the keywords here are not only the five words themselves, but also the headline keywords. By comparing with the links of competing products, we can find a number of optimal keywords, and their characteristics are as follows:
1. Describe the products in detail but not burdensome.
2. There is an optimal arrangement order for phrases
3. The number of search pages is just right
4. There is a certain amount of review
In addition, we find that the service provider on the home page is related to the wish list, and some buyers will use the method of adding a large number of buyer numbers, but it is more troublesome and difficult to operate. SellerMotor Digital Magic Cross-border here suggests that you can use digital magic cross-border browser plug-ins, big data to help you select keywords, and use Amazon keyword analysis tools, and product selection is no longer a problem! Of course, it is also very important to do a good job in analyzing traffic pages, do keyword research conscientiously, find shortcomings, and learn to make up for them. Naturally, it will not be difficult to optimize SEO.