Robin Li
Analyst · Alicia Yap of Barclays
Hello everyone and thank you for joining today's call. We made a good start to the year with solid progress on our suite of mobile products as well as exciting new innovation and investments to existing functions. As we outlined last quarter, our focus for the year ahead is to push forward with aggressive investments in mobile. We are dedicated to providing the best user experience across every device and to every input method, and I'm confident we are on the right path to achieving that. We've made substantial advances in our market-leading mobile search and map offerings. As far as our comprehensive suite of apps like browser, personal cloud storage and travel, to name a few, w also introduced a new approach to desktop search, harnessing semantic intelligence and advanced submission learning to enhance user experience in ways I'll elaborate on later in the call. While we've made strides on the user front, traction with key customer accounts have also been very encouraging. The fact that these customers keep coming back to even in this competitive environment is testimony to the breadth and flexibility of the Baidu marketing platform. We've also made good headway with the crucial work of keeping our customers to potential in mobile channels, and customers are now restarting to awaken to the possibilities. Moving on to highlights for the quarter, Q1 saw a further increase in our leading position in mobile search. Daily active users of Baidu mobile search grew over 25% from the end of 2012 to over 100 million today. It is one of the most frequently used mobile services on the market. The fast growth of our mobile search reflects the efforts we've put into delivering a superior user experience. Just as speed was critical to our success in PC search in the early days, delivering a faster result is of paramount importance for us on mobile. Related Android version of our mobile search apps version 4.1 now leverages our [DBT 5] engine, supporting HTML5, the kernel of our mobile browser, along with some other technical improvements that we launched this quarter. This means results now load 30% faster than previous versions. Baidu mobile search has LBS information embedded and is fully supportive of video content and Flash, thus eliminating the need for separate [native] apps. The Baidu search app also supports voice and image-based search. I'll speak more about the advances we've made in these areas in a moment. Our leading position in mobile search owes a lot to the excellence of Maps and LBS capabilities. Expectations on search results are dramatically different depending on whether you are sitting at your desk or searching on a smartphone while on the go. Our ability to integrate maps and our LBS to deliver a richer, more useful set of results is one important differentiator for Baidu. Related version of Baidu Maps which we rolled out recently for Android and iOS offers better LBS categorization and a new navigation upgrade. This new version is already very popular and the new features we've added make for more accurate search and faster decision-making and action. For instance, if I want to search for the newest Thai restaurant, I get restaurant's address, a click-through call phone number, user reviews, average price, directions on how to get there, real-time traffic situation, and information on any special offers there may be, and the option to book a table right away. Our Maps has an open API and we continue to add partners to build up our LBS platform. This platform already includes features like hailing a cab, booking a hotel room, and even finding group buying deals in your immediate area. Useful features like this make Baidu Maps a gateway for local search. We have also continued to raise the bar on desktop search with the new format of results for many categories on search. We incorporated semantic intelligence into our search [inaudible] to enhance results. We have built a knowledge [ground]. We not only understand exactly what the user is looking for but also [inaudible] relationships between related content, using content integrated from Baidu's [regular searches], Baidu Knows, Baidu Postbar, Baidu Encyclopedia, and third-party content providers. This new structured format will both result the users' initial query directly found on the search and help the user discover new information quickly and easily. For example, if I search for Lakers basketball player Kobe Bryant, in addition to the search results on the left-hand side of the page, I get a box on the right-hand side. It's a summary that includes his bio, photos and links to other basketball players who competed in the London 2012 Olympics, MVPs and other players I might be interested in. The technology required to deliver a superior user experience on mobile devices is also highly sophisticated. And Baidu has leveraged our R&D capabilities to stay far ahead of the pack. We've made a serious commitment to ensure that our best ideas become reality over the coming years. Part of this is our investment in advanced submission learning. The Institute of Deep Learning is focused on just that. Deep learning is about using newer networks to create sophisticated machine learning models capable of performing the kinds of tasks that human brains do well but machines [currently don't], understanding spoken language for example or describing and categorizing images or making inferences from examples, like in the search on Kobe Bryant I just mentioned. While this theory behind deep learning has existed since 1980s, lack of computing power limited efforts to put it into practice. Not only do we have the [raw computational power] today but very obvious applications for both users and customers. Two such applications are in voice and image recognition, these two of the most natural interfaces, and user demand for this input method is increasing [quickly]. Our efforts here have already yielded impressive results. Voice-based search queries are increasing very rapidly, keeping up with the very fast acceleration we saw in 2012 when voice queries grew ten-fold. Image-based search is quickly -- is growing quickly too and the accuracy of these searches is literally improving day to day as our systems learn. In voice search, we are the market leader in Mandarin recognition accuracy. In image search, our recognition rates are also the highest. And our facial image index is the most comprehensive in the world. Users can now photograph a bar code, a [QR] code, person, a book or a piece of text they want to translate and Baidu's mobile search app will deliver the information they're looking for instantaneously. Deep learning only help us deliver a better search experience, it benefits monetization too. Deep learning will help our customers select more effective keywords and will drive higher ad relevance through better contextual [environment]. The upshot is that our push into this important area of artificial intelligence will drive business results for our consumers and for us. Alongside the work we are doing on user functionality, we continue to expand our customer base and deepen the relationships we already have in our existing customers. Baidu is playing an active role in helping our customers to leverage mobile by educating them about the mobile channel and providing them with tools to build and optimize mobile landing pages. We will accelerate this process as we kick off our nationwide search engine marketing campaign in the current quarter, ensuring that our customers are up to speed on the mobile opportunity. This education process will happen over time, but so far the momentum is encouraging. At the same time, we've been looking at ways to extend our engagement with a select number of our large customers whose broad branch of advertising needs can be served on the Baidu platform. I mentioned last quarter the partnership between us, the leading insurer, and we've now brought out this joint business plan model with other large other customers in important verticals such as auto, online travel and FMCG. JointBusiness Plan or JBP is a deep collaboration between Baidu and our customers. We collectively formed a joint task force to optimize online marketing campaigns on the Baidu platform. By figuring ways to better utilize the full scope of our products from [inaudible] to branding to contextual ads. We've already gotten great feedback from customers on this and we see good potential. Besides the JBP model, we have enhanced our system to go deeper and work more closely with some key [Windows 8] e-commerce accounts as well. By leveraging these APIs, they open to us. We can see their discounts and promotions, delivery and payment requirements, and product availability in real time, allowing us to dynamically modify their [text-based paid links] in real time as well. Baidu's contextual ads have been growing well too. We made a number of upgrades this past quarter. Our most recent version of ad selling platform provides a better customer experience and targeting algorithms. With better monetization capabilities, we've been able to significantly expand the model of high-quality media inventory for our branding advertisers as well. We're really optimistic about the headway we've made so far this year. The investments we are making in product innovations are having a clear impact on user experience across different devices and input methods. And with the Baidu platform becoming more interactive and integrated by the day, we are equally focused on strengthening relationships with our customers to help them achieve the highest return possible through our platform. Now I'd like to hand it over to Jennifer for our financial highlights.