Cloud Social Media Forum: Social media in the eyes of investors

Wang Yuquan: Just now Wenguang on the above, we look at the following micro-group, friends say, really professor, a bunch of technical things. Originally light a stage, criticized my words, I have been relatively disturbed, and the text speak the target by enterprises to mention, we look at our enterprise after the goal to get the result is what kind of, the following link is each enterprise to do the show, the first is the only friend Huangyu.

Huangyu: Hello everyone, I bring you the product is only a friend, has been developing a project based on micro-blogging, Micro Bo is a great treasure, we are based on micro-bleomycin refining better value of a nest of determination. Only a friend in a word, only a friend is to help users maintain the perceptual tools, micro-blog can see all the new things, where the spread of a place, found that a lot of friends on Weibo is to watch the news, consult and see some good fun jokes, in this case, In fact, we do some statistics on Weibo, on Weibo our good friends, everyone's average may be only dozens of, but the average number of these good friends published daily only five. On Weibo, a lot of friends are playing with Weibo and discovering that a lot of things are old, are the former things, such as a lot of jokes, today hair tomorrow will turn, feel the sense of integration is not very strong, and their good friends to maintain is not particularly easy, the core of our products want to help users to his strong relationship, good friends find out, On this platform to maintain the feelings between friends.

In fact, we did three things for our users, the first thing is to help users to dig out his good friends, can take their care to do a certain amount of quantification, users can learn on this platform, and the relationship is better than good friends have what, according to our interaction who more care about me. Second thing, we analyze the user's microblog so that users and users to promote understanding between them, this is the case, each user in the micro-blog has a relatively unusual behavior, for example, I used to have a few good friends, a period of time to send a small bo, a little bit, suddenly a period of time hair more, Sometimes not how to write mood, but suddenly and write mood, write mood is related to the feelings, we can find out this friend and feelings have a relationship. This behavioral anomaly can be distilled into a situation that is analyzed by the user, so that the user can see it, which is the first piece we can improve the user's understanding of.

The second block, through the user's attention network analysis of the user's interest, we find that even our best friends don't know which star or kind of interest he likes, only recently know that my very good friends like television, he on Weibo to pay attention to many such people, with his reality, with the usual watch TV is related, Such behavior is analyzed by the user, thus promoting the understanding between users.

The third thing, hoping to improve user interaction, 90% of the life of the micro-blog interaction is less than 5%, most of the micro-blog is information, explosive information to respond, in this case, my friend on the microblog is not a sense of integration. Our approach is to play a certain label for micro-blog, there are a lot of micro-blog under certain circumstances, for example, he was on weekends, he used to go out to play the weekend, this weekend did not go out to play or where the weekend home Office, we can dig out. Some users he was late, sometimes we may have overlooked such things, especially on the microblog 90 o'clock, do not look at the night two or three clock things, some friends stay up late, three points of a micro-blog, in overtime, I often in the three o'clock to send micro-blog, this time can be seen, This is a convenient way to find out why I interact with the user. When you find that a user has an abnormal behavior, you can extract his behavior from the exception to make a feed.

We did two things backstage, it's basically intuitive to see how this microblogging is going on, my analysis of microblogs, such as outings and weekend house women, to analyze the user's microblog, to provide users with a micro-blog label and possible interaction. After the second piece through the analysis of Weibo, ascension to the analysis of people, a piece is time, a place, a piece is content, different time has different behavior characteristics. One person who makes a little tweet at night, or sends a tweet in the morning, can be sure of something. We have an open geographic interface that can be used to count where users often go and where they don't often go, can see, the recent check-in or a certain micro-blog location information, representing the frequent regional activities or suddenly to a very far place or did not go to the place, this initiative to provide users, Users better understand friends and friends to do interaction.

Content is also a bit, words are very interesting things, most microblogging will not be more than 100 words, 50 words are very small, but sometimes found that not the same kind of people hair microblogging is not the same, some people particularly talkative, especially like to express their views, this view may be his professional or interesting things, This is a lot of words. For ordinary users, he is very fond of, I only say a complaint may be more than 10 more than 20 words, and some people like idling, these people in their life behavior and personality characteristics are different. Based on this, suddenly found that some people are tweeting more or less than before, the representative of the affirmation is different micro-blog.

Keyword is also what we do, these pieces of the analysis we do for users, this page can see with good friends of concern, you can see me and their relative concern who cares more about me, I care about him less. Finally this page is what I can share for the user, share the recent situation, my relationship with him, and the recent situation of this friend, this is what the whole product brings to the user. Thank you.

Wang Yuquan: Thank you, you and I like the word Lao, like Wenguang introduced, many products must need very strong technical support, Huangyu is a large electronic science and technology graduate student in Chengdu, the teacher was doing the report yesterday Zhou, but also large data computing leader in the field of figures. Good friend food, Wongbo.

Wongbo: Our slogan is friends to help you choose food, the public comments are yellow pages of dining options, we are from friends to help you choose to subvert the public comments, we look at our source. Lu Zong introduced the information generated by Sina Weibo 100 million, we close to 50% of the food related data with pictures, if the first is a gold mine, and the second one is the water content of the gold deposit, it is very high, we can accurately understand each user through the algorithm what his needs are and what is his life background, To understand the intimacy between friends, let's recommend it to him.

The combination of data mining technology and social networking can produce very large chemical effects, trying to combine these two in the vertical area of catering. Friends to help you choose food, this is our products, open a Web page you can see this interface, in fact, with the list of the public comments similar to, not the same is every restaurant to tell you what the attention of friends here to eat, such as this is my friend in the vicinity of the food, called the field of the shop has a celebrity, Cai teacher, What is the characteristic of this shop, CAI Teacher said, I have eaten in Beijing Field House what thing, very cattle restaurant let Cai teacher eat, we note that there is a cloud in the middle of the label, through the micro-blog on all of the field home of the store's micro-blog for cloud analysis and aggregation results, characteristics of the breakfast is also a good taste, there is soy milk, there are fried dough sticks, Appear Big cottage, we see how to return, point Open Cottage, see the micro-blog on everyone so said, noon eat the field home very cottage, is a cottage Yoshinoya, we immediately know this CAI teacher ran to the cottage Yoshinoya ate a meal. I give the example of CAI teacher because everyone knows that if you open the page to know your friends eat there, he will recommend to you.

For example, my friend does not have much to eat nearby, can ask two degree friend, Shire teacher and all friends recommended for me, open, Xue Teacher is certainly high handsome rich, there is a recommended restaurant is the trade 79, what a good place, the cloud label is a steak Western, good dinner, good environment, good night, the steak below two words the highest, What is the highest meaning, the public comments will not put the highest two words in the 79 below the international trade, the Netizen comments on the top floor of the highest level in Beijing to eat, in the international trade three period 79 eat Western Beijing's highest restaurant, the restaurant immediately know its properties is the highest restaurant in Beijing, in the 79 Through these data mining technology and friends analysis of things, we have turned this matter into a friend of the recommended style, a new form of ridicule, we hope to use this form and friends of the proposal to redefine a restaurant, thank you.

Wang Yuquan: Next is the movie box office forecast, has finished "1942".

Walter: Hello everyone, let's talk about how to predict the box office, we see its taiji cast a billion, the income is 146 million, in fact, to 300 million should be money, "Taiji 2" same 120 million of the box office. "1942" Investment 120 million, forecast box office 375 million, today's release two weeks 300 million or so, about 690 million will be made, compensation is very large, directly resulting in the results of the release of the 30th stock fall, "1942" Tai Chi is a very good reputation of the film. "Painting Wall" is to make money, "four famous catch" is also making money, "Thai 冏" investment 30 million, 90 million to make money, box office estimates 285 million, the same light his stock in the rally. That is to say that the quality of the box office and Word-of-mouth has nothing to do with what is related? We have so many types of films, love movies, science fiction movies, at the same time there are action films, horror films, and comedy, we look at this is the user's logo, our food items and only friends said a lot of, the main positioning of the 25-year-old female monthly income is what kind of, the company white-collar, there is a male friend, the pursuit of countless, What film does she like to watch? From the social network to get all the data, and finally we found that she likes to watch love movies, such as "Painted 2" is also love and Magic films, comedy class films, we think she is usually like to pull a boyfriend to see love drama, the end of the year to relax to see comedy, We analyze the needs of users to see the value of his perception and appeal to the film, you can estimate the audience of the film and the public's view of the will.

We look at the identification of the user, is social Computing, we based on the needs of fans of the analysis can know what to see the film. So for the last example, if you look at big Shanghai, how do I get my system, Big Shanghai director is Jing, Xiaoming, Chow Yun-Fat played these films, social network media influence how much, Jing film probably what situation, xiaoming the film is probably what kind of situation, including Chow Yun-fat, combined with their contribution to the box office , and the user's various wishes for the December 22 release of it will not exceed 210 million, about 190 million of the box office.

Wang Yuquan: Thank you, Wongbo is the master of Science at Zhejiang University and Beida. Below this also special cow, Tsinghua's doctor, to share their bass nets.

Voice Bass Network representative: We provide music aggregation and referral services of social music products, it actually needs someone to be able to dig out the good music, our whole idea is this, we also combine today's cloud computing, we summed it up to three clouds, the first cloud is a social cloud, in the entire sound shell net, Your music is from your good friends, music between friends, through the likes of friends to use. You can walk through your friends in here, for example, through me, you can find Yu Quan, yu all find Walt listen to what music, this is just people to explore. Write down the quest for music to music.

The second cloud is called the intelligent cloud, I just mentioned the existence of 20 million music, maybe everyone will like only 1% of the music, but we can through social media, such as Sina or everyone, Tencent, Twitter or Facebook, or through the people screened out music is necessarily good, We pass the data through your friend relationship, data mining, calculate what you should listen to music, recommend to everyone, this is the smart cloud we talk about. Everyone can see that everyone is completely different home page, do personalized pages.

The third cloud is a multi terminal cloud, you were very difficult to save in your hands or into the car, it does not matter, will automatically sync, you just like the music to the car will think of your favorite music, so we hope it is seamless, multi-device support cloud. Finally, we give our hope, we are a data mining as the core competitiveness, hope to become the international competitiveness of social music platform.

The last link has a forum, please just did the introduction of the four business leaders up, the other side is Huangyu, Walt, the investment community friends, Li Feng, Zhang Ying, Qintie, entrepreneurial team and investors meet, talk about, see their point of interest where, please come onstage.

Li Feng hasn't come yet, wait for him. Just listened to several enterprises to do the introduction, from the investment point of view of the big data, the social network.

Zhang Ying: yu all let me talk about this, we do investment in fact all the knowledge is not our original, are entrepreneurs to teach us, we are learning, we particularly want to communicate with all aspects of the creative people, and constantly learn from them in the industry the forefront of things, We do more work or the various enterprises to do some things to share, do some refining. When it comes to social media and big data, social media run into big data, which is a particularly exciting thing in itself, and we've seen a variety of businesses and share our thoughts a little bit. Now you see cloud computing is hot with big data, so a lot of people are interested in this, because the social data is very much, we have so many experience, the first is that, not all of the data are valuable, everyone is talking about the crowd information, but in the end what data is valuable, This may make it possible for both our entrepreneurs and our investors to think hard about this problem.

The second problem is not that the larger the data, the better, in fact, the unstructured data is very large, how to extract the most valuable from these numerous and miscellaneous data, is very important, not the more the better.

The third question is how valuable data creates value, this is the third answer to the question, from the perspective of investors to learn how to create value continuously, some of us have accumulated a lot of data, but also accumulated very valuable data, but how the export, what is your business model? This is also what we entrepreneurs from the first day to think good, not to say better than our parents arranged marriages, we just put two young people together, we can cultivate emotional, as long as social and data in a business model, this is not necessarily true. So this may be three questions that we need to ask entrepreneurs who need to learn from them and that entrepreneurs need to think for themselves, for themselves, for investors, and for questions that need to be answered. Thank you.

Qintie: I met a few of them yesterday, just very agree with Zhang said, now the data are very hot, Zhang always said very important, I have a experience, first, now basically to large numbers of people are technical origins, now the key problem is that social is very social, It's a question of how technology can be combined with people, that some things might work out, some things might not work, or that some of the data doesn't count. The combination of technology and humanities, because, after all, is essentially a matter of humanities.

The second question, we do a lot of products, do a lot of service, behind the platform is a large data platform, using micro-blogging data, these data are collected by everyone, you do a product is not said technology, but in fact it may be difficult to say which algorithm is better than which algorithm, but the most important thing is that you this product and service, In that industry itself what is the customer's demand, which is the most important. That is to say, we saw yesterday I talked to the bass net and considered a lot of music things, it is very important that you really do things or music, this is the entrepreneurial people should be very focused on, technology is likely to bring new possibilities, may achieve what you have not achieved in the past, the real rigid demand is actually in the industry generated , you do music, you make big data, use large data method to solve music problems, actually do music company, this may be our big data is our very attention, do not throw away the essence.

The third question, you this team how to build, we use the new method, we here wants to do the programming, does the technical person, understands the big data person, but also our team must have understands the profession the person, actually creates the product to sell in the industry. For example, now Ctrip is an internet company or a travel company, Ctrip should be a travel company, which belongs to the tourism industry.

Wang Yuquan: Thank you, two investors, the point of view is quite consistent, technology is actually a driver, behind the real show to the front or the user needs to grasp. We entrepreneurs also talk about, from the beginning of Walt, you are what company?

Walter: We're definitely not a movie company, we have no way to make films or to find plays, we can provide them with technical support, they have no social network when they rely on sensibility, now we can through social network data mining, more accurate know, this fan likes to see what kind of plot? What to write the bridge paragraph, should choose what kind of actors to play, how to control costs, how to find investment, exactly how long to shoot? We do not mean to do the film itself, but itself to do the filmmakers through the use of data better film fans like the film, with good cast film, this is my opinion.

Wang Yuquan: You use technology to help film companies understand the needs of users.

Yulai: Music This thing has been a long time, nearly ten years ago, Baidu's music search after such a pattern appeared, the Internet has developed to the present, their models are the same, or I have a lot of music, in fact, the user's needs are constantly changing, and all of this traditional way of searching or the list way can not provide, And the thing we need to do is to find the change in user needs, with his needs as the goal, we use data mining methods to provide him with the best music access services, as well as some more in the future, including social play, entertainment, to provide more value, handed down, this is what we want to do. So just said very right, in fact, we are a music company, we want to technology as a fundamental music company.

Wang Yuquan: I need to help you to add that some things may be your trade secrets have not been talked about, the most important thing in the social age is to influence the economic era, many people talk about music does not make money, in fact, the definition of a clear, the music of the digital copyright part or the music of the record sales do not make money, but the music endorsement is to make a lot of money. Influence economy is a group of important, influence economic times use music to spread influence is natural means, I think Yulai hide a part, music how to make money? It's not really about making money by singing.

Yulai: I think if there is such a marriage intermediary, we can call it an emotional intermediary company, what we do, want users to be able to maintain on this platform, in the micro-blog is difficult to maintenance of such feelings, I am very like the century home and lily nets, their web site interaction design and business model is very great, I think what I want to do may be very inclined to hope to be able to maintain a good relationship with the user, when the user wants to keep good friends with good friends, want to through intermediary to maintain network, we have great potential to create value.

Wang Yuquan: You help provide the most scarce things in society.

Yulai: And I think Facebook is emotionally one of the great things about Facebook is that it puts strong relationships under our lines. A pattern is broken, you can do it easily on the Internet, communicate with your best friend, make it easy to maintain, and it will fragment your social life. , so Weibo can do this, but now Weibo is mainly biased media, user interaction is not enough, we are doing so.

Wang Yuquan: You want to become Facebook.

Wongbo: Two investors said very point, we did have a very big problem in the early stage of product development, we have a lot of data, especially good things, but how to show the user through the foreground, you show more, he can not understand, you show less and bad, if a new technology appears, For example, big data and social networks appear, the ability to change or revolutionize the traditional industry is a revolution in technology that reveals a new user experience, such as micro-letters such as shaking, touching, not saying what technology can bring to users, but what the experience of technology brings, we as developers as entrepreneurs, The first thing we think about is that the customers who are really moving are still going to have to bring new feelings to the user through some user experience that technology can change. In this way, our products are now also done in this manner, we will be a very simple entrance to the user to our very large data in the ocean, so that he is free to play inside, Implement this functionality in a way that you have never thought of before.

Wang Yuquan: Technology is used to change experiences. The four entrepreneurs sitting across from us are very direct, new technology to bring fresh experience dry come on, Huangyu second is Facebook, Wongbo aim is to comment on the net, Walt can aim at the film investors, you help him save money, you can earn the cash, looks still have a clear direction, just Qin always mentioned the sound of the net, Zhang, who do you think is doing a good job?

Zhang Ying: time relationship can not comment, I think four models are very interesting, especially willing to communicate with entrepreneurs, to hear a variety of new models, I have a general reminder here, more may be suggestions, my personal understanding, it is impossible to be comprehensive. I think whether it's the Internet or the mobile Internet, of course, the choice of mode is 2C one is 2B, in 2C this mode, the 2C mode is a flow of the game, in fact, the flow of the game there are three parts of the middle of this part of the most people talk about, how to leave the user, your product, Including your technology, whether you're a community that leaves users behind, or do a tool, browser, QQ, micro-letter, search for a variety of applications, in short, you have a recruit fresh, can leave the user, of course, this technology is very important, of course, this user experience is very important, this is your magic weapon to win.

But in fact there are two other parts, one is the front of this part, how do you bring the user over, this part from our investment point of view, is the easiest, our funds how to use, in fact, 2C of the game is in addition to the engineer's wages, is how to delimit the market costs, more efficient to bring over, Why did someone take the money and get it? Because of this part of the thing, but these two parts, there is a feeling, there is a third step, how can you get the money to cash, now it seems very simple, the United States model fees, we do not, nothing more than advertising, games, of course, there are some other, most of this, There are other, of course, but most of them are. Three parts of this, maybe we pay more attention to the middle of this part, this part is all the magic weapon of success. Although we begin to grasp this part of the middle, the other two parts also need to pay attention to, so as to become a full-fledged company, it is important that you consider the business model, the middle of the time, you are in front of the thought of a point, from a good idea into a semantically plump company.

Wang Yuquan: Thank you, Zhang always advised to consider the middle of the time, both before and after, look up the road, Qin General to what kind of advice?

Qintie: No suggestion, first, the affirmation of large data social media these things, should be a new thing, in the big direction, we think it is a future, now it is in a sense is unknown future, we see in the real world, social, although the hot fry, But actually the real social model is hard to see. Social network itself has a few years of history, just now Zhang also mentioned that the last link, how can I see it, I personally think it is more difficult to retain customers after the one thing, in fact, you should provide the service should be to meet customer demand services, It's more difficult for customers to pay. We now see most businesses basically, traffic can be achieved in a variety of ways, to retain customers to use social networks or other models can also be retained, but how to change is the hardest thing.

This piece, I personally think, is going to return to nature, return to the essence of the product, the essence of the product is to solve some of the customer needs, especially the rigid demand, we may often encounter a misunderstanding ah, pure technology, my algorithm is very good, certainly someone to use, this is not necessarily, more from the customer's point of view, you are the customer, What would you think. Some time ago to hear a saying, seems to be Tencent Research and development Department of Guangzhou Center said a word, quite agree, he said to see a product a second to become silly, MA Teng may be a minute to become silly, I 10 minutes to become silly, you may not know for a lifetime, he saw this product immediately from the customer's point of view to think, How does this matter become simpler, I completely use the Fool type application, but the experience is very good, perhaps we are doing the technical person, many people or says including myself, this aspect ability may be the most needs to exercise, how from the customer aspect to do. Each industry has a user experience of various industries, as a young entrepreneur is lack of, I hope that in this respect, we are in different areas, just make a movie that is not a movie, you are not a movie, you do big data must understand the film, which is not just data problems, there are a lot of emotional things.

Yesterday I asked you a question, how did your story become big data? This is a problem, perhaps your story from a large data point of view, to see which screenwriter is better, this is a way. So I said that.

Wang Yuquan: Thank you. When we invest in the future, we will add an item to see how long entrepreneurs can become stupid? Because of the time, we discuss only here, thank the investors for our entrepreneurs so much valuable advice, but also thank the entrepreneurs to share, thank you.

(Responsible editor: The good of the Legacy)