Picture Shopping Search or new entry for mobile shopping

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall

[Guide] The problem of image search, is the lack of search technology strength, that is, pattern recognition algorithms and large-scale computing capacity is imperfect.

Tencent Science and Technology Xushuchi August 22 report

When the keyword search more and more can not meet the needs of people, picture search in the shopping area to play a trick.

Recently, a clothing brand named Thirdlove won 5.6 million of dollars in seed financing. The application allows women at home with the IPhone and the mirror, from the front and side to take a picture of the right underwear and bra, can complete the measurement of their body, find the right underwear, save the offline test, online search trouble.

Although the application is not yet online can not experience, but at first glance, let the female compatriots look forward to.

The same idea, in the street or TV and other places to see beautiful clothes, with a mobile phone to take photos, you can immediately search the shopping site to find the same picture and buy the idea, but also let the shopping search field for the chase.

To search for products to find the Amoy Amoy search, just completed the second round of financing, the cumulative financing amount of more than 20 million U.S. dollars. is mainly for the web side, it is rumored that mobile end applications will soon be online.

Tutu Search using the micro-letter public account, online micro-letter Photo Shopping search function, the first to become a letter of Image search engine website.

Buy a special online shopping app, and strive to create a convenient and efficient search ecology. and Google (Weibo), Tencent, Baidu and other large companies in the image search field has resources to invest in the image of shopping search development to provide pressure is also a driving force.

Sweep code is the solution of transition state

In the past, "sweep" has become the mantra of people, in the shopping field is also widely used, such as scanning two-dimensional code to buy specific goods, line sweeping commodity bar code online purchase.

However, has many years of experience in the search industry, the founder of the Qin Jiangbo that sweep code is only a transitional state of the solution, visual image Search is the trend, the future of visual image search applications will become people and the real world interaction of the scanner.

Mobile end of the application of the purchase, the main interface at first glance is a camera application. The procedure is quite simple, the search for the object to take pictures, and then the interface appears to find the same paragraph, click to search.

Limited by the screen size and interaction, on the mobile side, users can not be like on the PC end of too many pages, when convenient and efficient in order to map the image to highlight their own advantages.

It is understood that the purchase of the app has been realized with the Taobao, cat and other platforms and mobile payment platform docking, the current number of users to buy the app daily growth of about 70%.

And Amoy search is based on the user shopping behavior of the analysis of the choice of image search road. Amoy Search Wang Haiyang that, in the "attention-interest-search-buy-share" This purchase chain, interest and search behavior directly guide the purchase, and search engine technical barriers high, can be replicated low. If you can guide consumers in the first time to turn the interest into a search action, it will certainly improve the possibility of actual purchase.

From this, Amoy search just upload the picture of the right clothes or the URL of the picture to Amoy search main station, click Search can find similar goods, to avoid the user sea Amoy not, and loss of the most original purchase desire.

It's a plug-in "Amoy" to further simplify the image search for merchandise steps, simply hover over the merchandise picture, you can show the same hot or cost-effective goods.

In addition, the picture is highly understandable and facilitates the development of cross-language commerce.

Content accuracy and search time need to be optimized

The image shopping search idea lets the person be full of anticipation to this kind of application shopping experience, however its existing product is not satisfactory. Low search results are the biggest obstacle to the use of users in this category.

As an example of web-side Shing search, the picture is retrieved with a short text description and can only match basic colors, patterns, and categories. And sometimes, the picture that is posted is a T-shirt, the result is a link to a lot of trousers. It's hard to be a key point in the search for the wonderful design that really makes consumers love them.

Mobile end of the purchase can only show a search items, but also difficult to meet consumer around shopping psychology. Moreover, the mobile end of the search time is often up to 2 minutes long, if the only result of the search is not the shopper's request, will affect the user stickiness.

Another noteworthy problem is that today's image shopping search is mostly based on Taobao platform search, and can not be included in many shopping platforms. In a short time, the image shopping search can only be counted as a subsidiary application of Taobao shopping, rather than the whole mobile e-commerce new way.

According to the industry analysis, the above many problems, the most critical is the lack of search technology, that is, pattern recognition algorithms and large-scale computing capacity is imperfect.

So, try to guess, for a small entrepreneurial team to speak, in the short term in a very high technology requirements of the image search field to achieve a qualitative breakthrough, with search giant companies, may be a compromise choice.