The "Mind Reader" in the big data age network literature waving "three axes"

In the mobile Internet era, people's habits of clothing, food, shelter, and transportation have been reconstructed, and the judgment of diversified interests has also been influenced. Therefore, "Big Data" immediately invaded people's lives at all levels, based on the exploration of data and rules, and started effective interventions to meet the needs of the masses, it is a distinctive feature of the big data era.

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Text/Zhang shule

The field of network literature is no exception. As the public is increasingly pursuing personalized needs, big data analysis can grasp, integrate, and mine user fragment behaviors, presents more intuitive services to users to achieve "point-to-point" convergence. Of course, satisfying differentiated needs based on a large variety of data sources also requires an audience base of the same size.

As the only Chinese network with more than 10 years of "original UGC" convergence in China, under the big data mobile Internet layout, it is undoubtedly paving the way for the public to experience personalized "Hard demand, it is committed to making mobile network literature a client with the charm of "reading mind.

Personalized prediction is the first priority in the "Big Data era"

Looking at Internet-reading apps, the promotion model is facing increasing embarrassment. Because each person's needs are different, the taste of the promotion is naturally different, And the stiff "passive acceptance" is no longer suitable for the keywords of the big data era-"human touch ".

When talking about the starting point of "Big Data" analysis, said Jin Qi, vice general manager of the starting point: "Big Data conducts personalized prediction for a single user, through itself? Product user behavior data collection, personalized analysis of user reading preferences and operational behaviors, and proactive screening for users to form intelligent recommendations, the "Push without category" Mode gives each user a different starting point. At present, the daily reading and recommendation books of the reading client at the starting point have been applied to such personalized recommendations, so that the recommendation results form a "thousand people, thousand faces ". From the results, the reading and clicking rate based on big data has been increased to 5 times that of the original manual recommendation, indicating that the user and product have had a good and effective interaction! "

Obviously, what Si jinqi elaborated is a breakthrough in the attempt of network literature towards big data analysis. It is a concentrated display of personalized content. That is to say, both readers and original authors can achieve personalized distribution through this platform. The author can get his most accurate consumer group, and the reader can get his favorite and most desired content.

Derivative "Value demand" to optimize the Creation Quality

If big data is an opportunity, what changes will it bring to the starting point? In an interview, Si jinqi also said: "The starting point has six product lines on the Mobile End Business and involves different technical platforms. In the content presentation form, we are also working on developing richer content representations, such as text, audio, and video. In the field of reading, the starting point is inherently advantageous. Because the starting point is the earliest and current largest original content production platform ." In fact, creators or publishers can also grasp the information from the reader's needs to adjust their creative ideas or publishing directions. They can focus on creating better works and publishing favorite books. This optimizes the motive power in the creative and e-publishing ecology to form a virtuous circle.

It is reported that the classification of articles in the screening process of big data also makes it easier for the author to focus on the writing fields and content he is good at based on market requirements, which virtually improves the quality of creation. More importantly, some authors at the starting point have begun to use the data background to intelligently parse works and book reviews, and focus on the creation of certain characters, skills, and items during the serialization process, as a result, the sales revenue has increased significantly, and its copyright has frequently received olive branches from mobile games, film and television and other related industries.

It can be seen that starting point mobile service terminals rely on big data to build a "mind-reading", which gives the publishing ecosystem the sustainable development ability and has obvious value effects on the works created by the authors, from promotion to promotion, there will be a larger expansion scope.

Advanced Social networking platform to expand content width

Data itself is a raw and tedious analysis process, but the "social function" on the other side of data is an important means to make up for data interaction needs. Therefore, data is also a foreshadowing for social networking. The Big Data Interaction circle based on "reading interest" helps readers at the starting point of the future and more easily discover like-minded friends. At the same time, the "social function" also strengthens effective communication channels between readers and authors, and increases the loyalty of readers.

Therefore, the social reaction to data is to expand the width of the content recommendation surface based on the data. Si jinqi said, "Do you have any experience like this-you have read an article forwarded by a friend that is different from your taste ?" We must have a teacher. The defect of data is that it relies too much on the reader's established interests, while social networking just makes up for this, which can help increase the data wing and cultivate users' unknown interests.

In this way, the use of the word of mouth spread between readers also forms an effective tension for the spread of the influence of the work. Coupled with the penetration depth of user groups formed from the starting point over the years, big data is an inevitable and must-be-implemented innovation, just like the creation of paid Reading Models many years ago. [Zhang shule: zsl13973399819]

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The "Mind Reader" in the big data age network literature waving "three axes"