Zaker and knowledge, change the traditional reading mode

From Twitter, micro-blog appears we can see that the message has entered a personalized, fragmented new era. Filter out unwanted information by focusing on different "media". However, if we are careful, you will find that the microblogging focus is actually similar to the past RSS reading, but the microblog is to reduce this RSS subscriptions. Therefore , the simple, fragmented information of the constitutes the bulk of the microblogging, and from the media of the form of communication, micro-blogging is still not out of the web 2.0 times the problem of information overload, in fact, this is the most RSS reading software is facing problems. Like Zaker, fresh fruit Network These procedures, now have done a comprehensive information, but the actual use will find that the information is exhaustive but lack of screening, which will cause us to waste a lot of time on the repetitive content, and this is the social reading brings the drawbacks.

And talking about personalized reading software, you have to mention the first Flipboard, it is based on your social network information to crawl the links behind the article or image of the information to reorganize, and the social network of People's information sources will be more than their own interests, so the information to crawl in this way more in line with personal expectations. So Flipboard is popular with many RSS subscribers once it is launched.

But this process based on social Network information analysis will be mixed into a number of useless elements, after all, each friend's preference is not exactly the same as their own, and many people's ideas are easy to be around the environment, this unconscious behavior of information restructuring will have different degrees of impact, The mixing of useless information causes Flipboard to be unable to achieve the pure personalized reading experience, while rejecting the useless information, we also encounter the interference of "information surplus". Therefore, the better personalized reading mode should be entirely based on personal information, and then the algorithm analysis to recommend, so that most of the useless information can be excluded, and access to the content is extremely targeted.

With this kind of thinking to screen, now only a few meet the "standard" personalized reader, here we take "le know" as a representative to specifically describe the difference between personalized reading and social reading, from here we can see why personalized reading is the future trend of development. For social reading software, we take the most well-known "zaker" to examples, although Zaker has been advertised as a personalized reading software, but in strict terms, the need for users to subscribe to the software, not the real sense of personalization, when the subject of the same subscription, the contents will be consistent, So I think it is not really personalized.

Interface processing

The social reading software Zaker uses the Microsoft Design Style (Metro) interface, which is read as a list of channels, and is visible and intuitive.

In contrast, personalized reading tools in the interface will be inferior to some, but the reading section simply divided into a guess you like, hot topics, local hot, Jevin list. This kind of classification eliminates the time of subscription, point open hot Text list, you can see the recent hot news in different fields, and social reading compared, le know article push from the beginning of the information screening, this is one of the Web 3.0 embodiment. But this UI design obviously does not give the user to take too much goodwill, therefore from the interface competition, certainly is zaker above.

Ii. Content

Zaker are based on individual subscriptions, content must be a personal interest, but inevitably encounter a large number of duplicate information, which will undoubtedly have a significant impact on the quality of the content, and the use of Metro typesetting interface design so that the subscription channel page attention to different degrees, in the first two pages of personal feed must be more easily read, In the back is obviously easy to be left out of the cold, so the use of Zaker reading news can easily produce two questions: 1. Read a lot of repetitive information; 2. The degree of attention to information sources is different, resulting in biased information acquisition.

The classification of the Lego list from the very beginning of the information filter, cut off the duplication of information, in the form of a collection of key news content, so that the acquisition of information to avoid duplication. The introduction of a recommended collection to avoid these two problems, both filter the duplication of information, and through the recommended way to make news reading will not cause tilt.

Third, product characteristics

Compared to most readers, I personally think that Zaker is not too prominent personality, nothing more than RSS subscriptions, the different content into different themes, so that users subscribe to their hobbies.

There is a unique feature of the music--guess you like it, as long as you log on to Weibo, you can recommend to your favorite content, which is also a key feature of Web 3.0, that is, based solely on personal information and then based on algorithm analysis recommended reading, so you get the recommended content is entirely based on personal interests, to facilitate reading. But the disadvantage of this is the lack of subscription-style personality reading. Because in addition to reading based on algorithm recommendation, there are many professional users will be dedicated to a single subscription to one or two of information sources, this is completely based on the algorithm recommended reading method is easy to let this part of the user can not start, so this is the knowledge in the information access on the weak link, that is too dependent algorithm recommended deletion information, Ignore personal subscription components. However, from the perspective of the general user, in the information acquisition, the music is more likely to the Web 3.0, compared to zaker simple subscription or better.

By comparing the two, you should be able to feel the advantages of personalized reading: simple and efficient, more consistent with today's fragmented lifestyle reading habits, and more attention to the acquisition of interest information. But the disadvantage is that too much attention to personalized information may bring a strong echo chamber effect, that is, read only what we want to see, which may lead to a lack of accidental discovery of life, so the future of personalized reading may also need to add some "unexpected" elements to constitute a more reasonable way of personalized reading. But in the present, this kind of targeted information push in the interactive and interesting or the victory of social reading, if there is a condition, may wish to try the personalized reading of the surprise!