Check out your new image ads from the AdWords Display Ad Builder

(Cross-posted on the Inside AdWords blog.)

Image and video ads on the Google Display Network can have a strong impact on the success of your online marketing campaigns. These ads convey your messages in more engaging and memorable ways, enticing viewers to buy what youíre selling.

The Display Ad Builder tool within AdWords already lets you easily create image and video ads for free and gives you the flexibility to customize these ads to suit your needs. Check out these image ads for examples of what you can create:

But today weíre announcing a new feature that essentially builds your image ads for you.

The Display Ad Builder now automatically creates suggested image ads, using the existing text ads in your campaign.

• Click on the suggested ad that you like best.
• If necessary, customize any fonts, text, or colors that need tweaking.
• Then incorporate the ad into one of your ad groups. Itís that simple.

Check out your suggested ads now>>

You donít even have to be in the Display Ad Builder tool to use this new feature.

• If youíre in one of your ad groups, you can select an existing text ad and under ìMore Actions,î choose ìGenerate Display Ad.î
• AdWords will create an image ad based on the text ad you selected.

If you want to create your ad from scratch, you can always choose from hundreds of template designs.

• Add your text and customize the fonts, colors, and background.
• Choose images from the AdWords stock gallery, from your computer, or straight off your website.
• Review the ad in all formats to make sure it looks right, then add it to your campaign.

For more information about Display Ad Builder, visit the Display Network website.

Posted by Lauren Barbato, Inside AdWords crew

Google+ page stories: King Arthur Flour

Editor’s Note: This is the third in a series of posts about small businesses on Google+ and their tips and tricks for managing a great page. Visit our YouTube channel to see all the videos in this series and join the discussion on the Google+ Your Business page.

Meet King Arthur Flour, America’s oldest flour company. Founded in 1790, King Arthur Flour is now an employee-owned company that offers everything from baking products to educational baking programs—all with the mission to “inspire, educate and bake.” PJ Hamel, King Arthur Flour’s resident writer, shows how Google+ helps the company share the joy of baking with people all around the world.



As we mentioned the other week, Google+ Pages helps you share relevant content to your stream with the right people using Google+ Circles. PJ Hamel, King Arthur Flour’s resident writer, uses Google+ circles to share certain recipes with specific groups of interested customers.



Here are some more tips for sharing to your stream:

• Share visual content. Add photos, videos, or links to your posts. Simply drag the photos, videos, or links directly to the share box. To add a link, just find the icon that's next to the URL in your browser window and drag it to the share box.
• Grab someone’s attention by mentioning them in posts. Say you’re creating a post based on a user’s question, or you want to respond directly to a customer in the comments. To really grab their attention, try “plussing” (or “mentioning”) them in your post or comment. This will alert the customer to your comment, and bring them back to the post. To mention someone:
  
  1. Type +[person's name] or @[person's name]. (You can also type their email address instead of their name.)
  2. As you type, an autocomplete list of people will appear.
  3. Select the person you want to mention.
• Add style to your post.
  
  1. Use underscores to italicize. _ italics_ → italics
     
  2. Use asterisks to bold. * bold* → bold
  3. Use hyphens to strikethrough. - strikethrough - → strikethrough

Want to learn more? Visit the Google+ Your Business site, and stay tuned for more Google+ stories and tips from small businesses. You can also watch all our Google+ page stories on YouTube.

As you share to your Stream, what kinds of content have you found are most engaging with your followers? Join the discussion on the Google+ Your Business page and tag your posts #mybusinessstory.

Posted by Evelyn Lee, Google+ Pages Associate Product Marketing Manager

Announcing Google-hosted workshop videos from NIPS 2011

Posted by John Blitzer and Douglas Eck, Google Research

At the 25th Neural Information Processing Systems (NIPS) conference in Granada, Spain last December, we engaged in dialogue with a diverse population of neuroscientists, cognitive scientists, statistical learning theorists, and machine learning researchers. More than twenty Googlers participated in an intensive single-track program of talks, nightly poster sessions and a workshop weekend in the Spanish Sierra Nevada mountains. Check out the NIPS 2011 blog post for full information on Google at NIPS.

In conjunction with our technical involvement and gold sponsorship of NIPS, we recorded the five workshops that Googlers helped to organize on various topics from big learning to music. We’re now pleased to provide access to these rich workshop experiences to the wider technical community.

Watch videos of Googler-led workshops on the YouTube Tech Talks Channel:

• Big Learning: Algorithms, Systems, and Tools for Learning at Scale by Joseph Gonzalez, Sameer Singh, Graham Taylor, James Bergstra, Alice Zheng, Misha Bilenko, Yucheng Low, Yoshua Bengio, Michael Franklin, Carlos Guestrin, Andrew McCallum, Alexander Smola, Michael Jordan, Sugato Basu (Googler)
• Domain Adaptation Workshop: Theory and Application by John Blitzer, Corinna Cortes, Afshin Rostamizadeh (all Googlers)
• Learning Semantics by Antoine Bordes, Jason Weston (Googler), Ronan Collobert, Leon Bottou
• Sparse Representation and Low-rank Approximation by Ameet Talwalkar, Lester Mackey, Mehryar Mohri (Googler), Michael Mahoney, Francis Bach, Mike Davies, Remi Gribonval, Guillaume Obozinski
• International Workshop on Music and Machine Learning: Learning from Musical Structure by Rafael Ramirez, Darrell Conklin, Douglas Eck (Googler), Ryan Rifkin (Googler)

To highlight a few workshops: The Domain Adaptation workshop organized by Google, which fused theoretical and practical domain adaptation, featured invited talks from Shai Ben-David and Googler Mehryar Mohri from the theory side and Dan Roth from the applications side. This was just next door to Googlers Doug Eck and Ryan Rifkin's workshop on Machine Learning and Music, with musical demonstrations loud enough for the next-door neighbors to ask them to “turn it down a bit, please.” In addition to the Googler-run workshops, the Integrating Language and Vision workshop showcased invited talks by Google postdoctoral fellow Percy Liang on the pragmatics of visual scene description and Josh Tenenbaum on physical models as a cognitive plausible mechanism for bridging language and vision. Finally, Google consultant Andrew Ng was one of the organizers of the Deep Learning and Unsupervised Feature Learning, which offered an extended tutorial, several inspiring talks, and two panel discussions (one with Googler Samy Bengio as panelist) exploring the question of “How deep is deep?”

As the workshop weekend drew to a close, an airline strike in Spain left NIPS attendees scrambling to get home for the holidays. We hope the skies look clear for 2012 when NIPS lands in Google’s neck of the woods, Lake Tahoe!

2011 EMEA Android Educational Outreach Program Awards Mobile Phones to Universities

Posted by David Harper, Head of University Relations, EMEA

As part of EMEA’s 2011 Android Educational Outreach program, we recently granted over 300 Android-powered mobile phones to 40 universities across Europe, the Middle East, and Africa. These phones will be used to support mobile related project work in university teaching and research. Our steering committee reviewed applications from 77 universities in 24 countries across the region and selected finalists based on each proposal’s scope to generate interest in mobile engineering, reach many students, and be applicable both within and outside the university.

This is the second year we have awarded mobile phones to universities. This is largely attributable to the enthusiastic feedback from last year’s recipients who were interested in continued support for Android project work. The phones donated last year were used in a range of interesting projects, including:

• George Candea, EPFL (Switzerland): The Pocket Campus, an application that helps students, graduates, staff and visitors to find their way around the EPFL campus was created as a course project. After the course, some of the students decided to continue development of the application. It has become so successful that it’s now EPFL’s campus-wide smartphone app.
• Andrew Rice, University of Cambridge (United Kingdom): Students in the summer programme developed Learn!, a flashcard-based learning application that is available in Android Market. This project investigated how one might incorporate features of modern phones such as multimedia capture and playback, data communications and significant computation power into a learning application.
• Alan Smeaton and colleagues, Dublin City University (Ireland): Undergraduate, master’s, and PhD students embarked on a wide variety of projects, which included lifelogging (recording everyday activities using the phone); measuring the strengths of wireless networks as an aid to mapping wireless propagation; and interface design for an augmented reality application.
• Nicolae Tapus, University Politehnica of Bucharest (Romania): Numerous applications were developed by students, including: TaxiFinder, an application that finds the closest taxi number with the lowest price, and Viewlity, an augmented reality engine for showing nearby points of interest (e.g., gas stations, restaurants, ATMs, places of worship) on an Android phone.
• Gerhard Tröster, ETH Zurich (Switzerland): Martin Wirz and his team are using mobile phones to conduct research in the field of wearable computing and machine learning. The devices are used to collect all kinds of sensor information (e.g., accelerometer, magnetometer, microphone, GPS) to infer personal activities, psychological behaviors and social phenomena.

We are looking forward to sharing the great projects resulting from this year’s Android Educational Outreach program early next summer.

Google+ page stories: North Bowl

Editor’s Note: This is the second in a series of posts about small businesses on Google+ and their tips and tricks for managing a great page. Visit our YouTube channel to see all the videos in this series and join the discussion on the Google+ Your Business page.

Recently we introduced you to Best Made Company, a group of outdoor enthusiasts that specializes in designing and handcrafting wilderness supplies. Next up we have North Bowl, a 21,000-square-foot bowling center in Philadelphia, Pennsylvania. Oron Daskal and his staff are passionate about creating a fun, social space at the lounge and alley for their local community. In fact, he says, he probably “sees the most high fives in the city.”



One of the great things about Google+ Pages is the ability to share relevant content with the right people using Google+ Circles. Take a tip from North Bowl and learn how you can use circles with your page:



Want to get started with circles? Here are some quick tips:

• Create circles to target messages to particular groups. Say you have multiple locations, you may want to organize your followers by geographic areas, and thus, send deal updates to the most relevant people. Or say you want to share information with your employees. Just put them in a circle and make sure that only they get the message.
• Share your circles. Have you built a circle featuring all the experts in your field? Share it with the Google+ community! Click the Circles icon at the top of Google+, select the circle you’d like to share, and hit “Share this circle” at the top right of the page.
• Edit the order of your Circles. In your Circles dashboard, just click and hold on a circle in order to drag it to a new position on the page.

Want to learn more? Visit the Google+ Your Business site, and stay tuned for more Google+ stories and tips from small businesses. You can also watch all our Google+ page stories on YouTube.

How does your business use circles? Join the discussion on the Google+ Your Business page and tag your posts #mybusinessstory.

Posted by Evelyn Lee, Google+ Pages Associate Product Marketing Manager

TalkBin Stories: Patama Roj of Fraiche

Editor’s Note: TalkBin enables customers to send mobile messages to business owners in real-time, like a digital comment card. To learn more, visit talkbin.com.

The pace of life for a small business owner is unrelenting. Just ask Patama Roj, co-founder and owner of Fraiche, a company based in Palo Alto, California that serves homemade organic fresh and frozen yogurt, coffee and breakfast goods. Patama is dedicated to serving food that "speaks for itself," and customers are loving it.

With three locations though (two in Palo Alto and one in San Francisco), it’s hard to understand what’s going on across the business. That’s why Patama started using TalkBin to stay connected with customers even when she’s not in a particular store. Customers ask questions and provide feedback, which helps her understand exactly what's going on in each location. "It was important for me to find a way to get this feedback real-time," she says. And with TalkBin, business owners like Patama can receive this instant feedback without sharing personal mobile phone information, since TalkBin provides a special, customer-facing phone number and forwards feedback to your phone or email.

The ability to receive TalkBin messages on her cell phone makes responding quick and convenient for Patama as well. "Customers are always surprised to hear they're getting a text back from the owner!” she says.

Interested in using TalkBin in your store too? Get three months free when you sign up with promo code BLOGSMB-2 at www.talkbin.com/signup/user.

Posted by Qasar Younis, Product Manager

Quantifying comedy on YouTube: why the number of o’s in your LOL matter

Posted by Sanketh Shetty, YouTube Slam Team, Google Research 

In a previous post, we talked about quantification of musical talent using machine learning on acoustic features for YouTube Music Slam. We wondered if we could do the same for funny videos, i.e. answer questions such as: is a video funny, how funny do viewers think it is, and why is it funny? We noticed a few audiovisual patterns across comedy videos on YouTube, such as shaky camera motion or audible laughter, which we can automatically detect. While content-based features worked well for music, identifying humor based on just such features is AI-Complete. Humor preference is subjective, perhaps even more so than musical taste.

 Fortunately, at YouTube, we have more to work with. We focused on videos uploaded in the comedy category. We captured the uploader’s belief in the funniness of their video via features based on title, description and tags. Viewers’ reactions, in the form of comments, further validate a video’s comedic value. To this end we computed more text features based on words associated with amusement in comments. These included (a) sounds associated with laughter such as hahaha, with culture-dependent variants such as hehehe, jajaja, kekeke, (b) web acronyms such as lol, lmao, rofl, (c) funny and synonyms of funny, and (d) emoticons such as :), ;-), xP. We then trained classifiers to identify funny videos and then tell us why they are funny by categorizing them into genres such as “funny pets”, “spoofs or parodies”, “standup”, “pranks”, and “funny commercials”.

 Next we needed an algorithm to rank these funny videos by comedic potential, e.g. is “Charlie bit my finger” funnier than “David after dentist”? Raw viewcount on its own is insufficient as a ranking metric since it is biased by video age and exposure. We noticed that viewers emphasize their reaction to funny videos in several ways: e.g. capitalization (LOL), elongation (loooooool), repetition (lolololol), exclamation (lolllll!!!!!), and combinations thereof. If a user uses an “loooooool” vs an “loool”, does it mean they were more amused? We designed features to quantify the degree of emphasis on words associated with amusement in viewer comments. We then trained a passive-aggressive ranking algorithm using human-annotated pairwise ground truth and a combination of text and audiovisual features. Similar to Music Slam, we used this ranker to populate candidates for human voting for our Comedy Slam.

 So far, more than 75,000 people have cast more than 700,000 votes, making comedy our most popular slam category. Give it a try!

Further reading:

1. “Opinion Mining and Sentiment Analysis,” by Bo Pang and Lillian Lee. 
2. “A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews,” by Oren Tsur, Dmitry Davidov, and Ari Rappoport. 
3. “That’s What She Said: Double Entendre Identification,” by Chloe Kiddon and Yuriy Brun.