Web fun, a personalized reading application

Absrtact: I take the subway to work every morning, one hours to the company. One hours is not short, but I found that in the one hours I saw on the phone is very few things, East look at the West stroll, time is so. Thinking it over, I found my

I take the subway to work every morning, one hours to the company. One hours is not short, but I found that in the one hours I saw on the phone is very few things, East look at the West stroll, time is so. Thinking about it, I found that much of my time was wasted searching for content, and the real reading time was very small. It seems that Beijing entrepreneur Ossiyam and I have the same trouble, so he did "online fun."

Net interest is a personalized reading application. Its homepage is a content category label, there are entertainment, humor, technology, fashion and other categories. Select a category that you are interested in and you will be able to see the first article that the Web fun is recommending for you. Read this article or do not like this, you can click on the bottom of the screen button to change to the next article.

If Web fun wants to help you skip the search for content, it has to make sure that the recommendations are based on your interests. Net interest in this aspect is like watercress FM. Users can comment on each article by "like" or "dislike" two icons. The personalized recommendation algorithm behind the network fun will be the user of these choices are learned. That is to say, the more the user evaluates, the more his recommendation will fit in with his appetite. In addition, Ossiyam also stressed that the network fun backstage This set of algorithms is real-time. In other words, any time different users open the network fun to get the recommendations are not the same.

I also like the network fun This "open can read" experience, and "one screen" this way of presentation is also quite refreshing. However, compared with the same kind of relatively mature reading application Zaker, the net interest does not make any adjustment to the third party reading content, only simply leads the user to the source website. Ossiyam said it was a simple approach and could circumvent copyright issues. Of course no adjustment to third-party content may result in inconsistencies in the user's reading experience. And the redundancy of the source site (such as advertising, comments, etc.) may also affect the user experience. Ossiyam said that the current domestic news site mobile strategy is still in the initial stage, most of the dare not to embed ads too much. And the network fun will also use the white list of ways to control the quality of the source site. The palace said that there are more than 20 websites on the net Fun white list.

Overall, I think the online fun reading experience, although not as exquisite as zaker, but not bad. But I have an idea--just give me a favorite piece of music when I'm reading. After all, the United States with the wonderful tone of the atmosphere will be better, just like the quilt music. But the quilt music does not have the personalized ingredient.

Although the net fun has just been done soon, Ossiyam seems to have made up his mind about its business model. In short, it is to insert a text between a few articles pushed to the user (this article is as long as the web fun of the general article is no different, but in the article will be noted as "sponsorship ads"). Of course, in order not to arouse the user's aversion, the content of the ads will generally be interested in users, this can take advantage of the natural "learning user interest" advantage.

In addition to advertising by interest, I think the net interest can also be taken from a foreign voice Twitter client audiotweets. Audiotweets will read the user's tweets. After reading a few, Audiotweets will be interrupted by an ad. The good news is that every single ad that a user hears, audiotweets pays for it. When the user "earns" more than 10 dollars, Audiotweets will also be attentive to the money into a MasterCard credit card, and the card mailed to the user.

For the current still in the early stage of the network interest, looking for advertisers themselves is not easy, after all, platform influence is still very small. And when the number of brands is very small, it is very difficult to push ads by interest. Therefore, the initial stage also may wish to try Audiotweets advertising mode.