Facebook's Search Results Will Be 'Totally Irrelevant' Because 'Likes' Are 50% Fake Building Customer Communities Is the Key to Creating Value - Bill Lee by Bill Lee | 1:00 PM February 1, 2013 What are your customers telling their friends and colleagues about your business? As I described in my last post, your prospective customers and buyers increasingly learn about you from their peers — including your current customers — while tending more and more to ignore traditional sales and marketing communications from corporate. Creating and capturing such value from customer relationships doesn’t just happen, no matter how stellar your products and services are. At Level 1, buyers perceive you as the supplier of a commodity. At Level 2, buyers perceive you as helping them get a job done. At Level 3, you engage the customer emotionally, which strengthens loyalty and retention. But not everyone can create such awesome products or services — and even when you do, maintaining that emotional connection through your products and services may be fleeting. This is an area of tremendous creativity. Help customers build their reputation Give them a say
Why Facebook Graph Search is the best thing you never knew you always wanted Well, the Facebook Phone may have been taken out back and shot today, as yet again hype over the mythical product was misplaced. But honestly, we got something way, way better: Facebook Graph Search . It might not sound as sexy, but trust us, it is. Graph Search is the answer to most of our Facebook complaints. It can help you find a link that’s buried in a News Feed; it can help you dig through photo albums for that one specific shot; it can help you find that particular restaurant a friend insisted you try. Currently, Facebook search is… limited. As you might expect, this was an incredibly demanding endeavor from an infrastructure perspective. Just take a look at how refined your query can be using Graph Search: And that’s just the beginning. There is no shortage of criticism for the fact that Facebook takes our data and makes money off of it. Our relationship with Facebook has become a contentious one.
Anki 2.0 User Manual As mentioned in the basics section, Anki creates cards automatically, based on the notes you add. (Please read the basics section if you have not done so already, as the rest of this section assumes that you have read it.) You can configure the cards Anki should create and what should be shown on them when adding or editing material by clicking on the “Cards…” button. At the top of the window you’ll see a set of tabs, one for each card type. On the top left is the front template, on the bottom left is the back template, and in between them is the card styling section. In Anki, templates are written in HTML, which is the language that web pages are written in. On the right is a preview of the front and back of the currently selected card. At the bottom of the window is a More button that gives you options to rename or reorder the cards, as well as the following two options: Reverse Cards Basic Templates The most basic template looks something like this: What's the capital city of {{Country}}?
Facebook Announces Its Third Pillar “Graph Search” That Gives You Answers, Not Links Like Google Today at Facebook’s press event, Mark Zuckerberg, CEO of Facebook, announced its latest product, called Graph Search. Two of the members of the Graph Search team, Lars Rasmussen and Tom Stocky, were very high up at Google. Facebook is calling it a “Dream Team.” Zuckerberg made it very clear that this is not web search, but completely different: What’s more interesting than any of these things (that Facebook currently does) is giving people power and tools to take any cut of the graph that they want. Zuckerberg explained the difference between web search and Graph Search. Graph Search is designed to take a precise query and give you an answer, rather than links that might provide the answer.” Zuckerberg says that Graph Search is in “very early beta.” Facebook Graph Search is completely personalized. Stocky says you can also use Graph Search for dating. You can also use Graph Search for recruiting. Photos is another big part of Graph Search.
Quellenübersicht: Immer die aktuellsten Zahlen zu sozialen Netzwerken Wir versuchen hier ja einen möglichst umfangreichen Statistik-Pool rund um Social Media aufzubauen und aktuell zu halten. Leider kommen wir aber nicht immer dazu, alles aktuell zu halten. Wenn Ihr also mal ganz schnell aktuelle Zahlen zu einem bestimmten Netzwerk braucht, könnt Ihr Euch auch selbst ein wenig helfen. Daher stelle ich Euch hier mal die Quellen für Nutzerzahlen zu den verschiedenen Netzwerken zusammen. Ich werde die Liste regelmäßig aktualisieren und den Artikel mal wieder nach oben holen. Inhalt: Facebook: So funktioniert es: Einfach auf “Erstelle eine Werbeanzeige” klicken. Twitter Aktive Twitterer in deutscher Sprache Thomas Pfeiffer erstellt in unregelmäßigen Abständen seinen Twitter-Zensus. Google+ Geschäftsberichte von GoogleGoogle veröffentlicht in seinen Geschäftsberichten (4x jährlich) oft auch Nutzerzahlen zu Google+. Xing Xing-Geschäftsberichte Viermal pro Quartal gibt es offizielle Zahlen der Xing AG inkl. LinkedIn Deutsche Netzwerke Allgemein
Graph Search Ads Could Be A Goldmine For Facebook Where there’s discovery, there’s opportunity for sponsored discovery. Though there are no ads in Facebook’s new Graph Search engine yet, eventually Facebook could let advertisers pay to show their results above organic ones, just like on Google. CEO Mark Zuckerberg stressed “You build a good business by building something people want”, but said Facebook’s typeahead search ads “extend quite nicely to this.” When I asked during the launch event’s Q&A where Facebook saw monetization opportunities in Graph Search, Zuckerberg explained the quality of the user experience comes first. How exactly? Sponsored Search Results Facebook’s entrance into search ads has been limited to date. When people make a Graph Search, Facebook decides what order to show the results in. Ads might show up beyond Places search. There’s also potential for showing ads that don’t necessarily match a query, but are related. More Traffic To Bing Ads Within Facebook Recruiting And Dating
Tom König: Mit Social Media gegen miesen Service Jeder Markenartikler besitzt heutzutage eine eigene Facebook-Seite - von Twitter, Foursquare, Pinterest und dem anderen Kladderadatsch ganz zu schweigen. Viele Marketingexperten halten die neuen Kommunikationskanäle für eine feine Sache. Gewiefte Service-Guerilleros sehen das genauso, wenn auch aus anderen Gründen: Dadurch, dass sich viele Unternehmen vorbehaltlos auf Social Media eingelassen haben, sind sie nämlich in eine fiese Falle getappt. Jeder Kunde, dem etwas missfällt, kann dies nun öffentlich machen, und zwar an einem Ort, wo sich Tausende andere Menschen aufhalten, die mit der fraglichen Firma Geschäftsbeziehungen pflegen. Es ist möglicherweise der Beginn eines güldenen neuen Zeitalters des Konsumerismus. Seid ihr bereit, Compadres? Operationstaktik 1: Die öffentliche Beschwerde lancieren Nehmen wir an, Sie ärgern sich über die unverschämt hohen Gebühren, die Ihre Bank für eine Transaktion berechnet hat. "Liebe Sparkasse Dödelsberg! Erscheint Ihnen etwas ermüdend? Kunde vs.
8 Facebook Graph Search Pros and Cons for Marketing Facebook Graph Search seems to have a lot of potential. With the improved search feature, we'll finally be able to sift through all the user data on Facebook in an intelligent, intuitive way. For businesses and startups especially, features like Graph Search and Facebook's conversion measurement tool sound promising — has Facebook finally given business owners the toolkit they need to acquire new customers, target ads on a micro level and drive measurable conversions? The jury's still out, so we asked a panel of successful young entrepreneurs to share how they're using (or plan to use) Facebook's newer features to serve their business goals. Here's what they had to say. 1. Facebook wants to crack the code on helping SMBs with new customer acquisition, but it hasn't been able to do so yet. — Ben Rubenstein, Yodle 2. We're just beginning to use Facebook's conversion measurement tool, and it looks as though it will better measure social media advertising effectiveness. 3. 4. 5. 6. 7. 8.
Szene: Bionade-Biedermeier Der Berliner Stadtteil Prenzlauer Berg ist das Experimentierfeld des neuen Deutschlands. Doch wer nicht ins Raster passt, hat es schwer im Biotop der Schönen und Kreativen Speichern Drucken Twitter Facebook Google + Die Straße, von der Yunus Uygur einmal annahm, sie sei sein Weg ins Glück, liegt im Dunkeln, als er einen neuerlichen Anlauf nimmt, um dieses Glück vielleicht doch noch zu fassen zu kriegen. Seit fünf Monaten hat er seinen Laden direkt an der Haltestelle Milastraße. Er gehört zu einem stillen Treck von Arbeitsnomaden, die Morgen für Morgen in den Prenzlauer Berg ziehen, um den Deutschen Obst und Gemüse, Blumen und Wein zu bringen. Der Prenzlauer Berg. Der Anteil der Akademiker hat sich mehr als verdoppelt, in manchen Straßen verfünffacht. Die Menschen hier glauben deshalb gern, der Prenzlauer Berg sei die fruchtbarste Region des Landes. „Wuuuuunderbar! Daran teilzuhaben, sich ein bisschen Lifestyle zu kaufen, ist Stahlmanns Kunden 3300 Euro wert, pro Quadratmeter.
Graph Search Optimization: The New SEO and What it Means for Social Advertisers This is a guest post by Todd Herrold, senior director of product marketing at Kenshoo Social, a Facebook Strategic Preferred Marketing Developer with Facebook Exchange access. Facebook introduced Graph Search in January signaling a major shift in social search. Graph Search matches natural language search terms with content from the searcher’s network (social graph) to identify and return relevant results based on several factors. The volume of Facebook users alone could propel Graph Search to be the first true challenger to traditional Web search engines, but the announcement of this revolutionary search technology prompted a number of questions from social marketers including: How will consumers respond/adapt to social search? Determining Relevance Unlike standard search engines, Facebook owns all of the data (page posts, photos, videos, etc.) which has ever been posted to the network. The results then get scored based on a number of criteria depending on the search terms.
Gauck und Sexismusdebatte: Der Aufschrei-Empörungsgestus Jetzt wird es bestimmt ganz eng für Joachim Gauck . Zwei Tage, nachdem der SPIEGEL ein Gespräch mit dem Staatsoberhaupt veröffentlicht hat , ist man im Internet aufgewacht und sammelt sich wegen seiner Nachbetrachtungen zur Brüderle-Affäre zum Protest. Oder soll man lieber sagen: zum #Protestschrei? Mit Bestürzung hat man im feministisch bewegten Teil der Netzgemeinde jedenfalls zur Kenntnis nehmen müssen, dass der Bundespräsident den alltäglichen Sexismus in Deutschland für kein vordringliches Problem hält. "Wir sind verblüfft und erschüttert", heißt es in dem Appell an Gauck, der seit Mittwoch zirkuliert. Schwer zu sagen, was man bei dem neuerlichen Aufschrei mehr bewundern soll: den Empörungsgestus, der genau jenen "Tugendfuror" unter Beweis stellt, den Gauck im SPIEGEL beklagt hat. Hier sprechen die Vertreter der neuen Weltordnung Man mag das alles für überzogen halten. Wie jede Jugendbewegung profitiert der Netzprotest von der Vermutung, dass ihm die Zukunft gehöre.
Facebook relies on natural-language processing to power Graph Search Since Facebook debuted its Graph Search function in January, the social network has given access to a small percentage of users — millions, while Facebook had 1.06 billion monthly active users at the end of 2012. The feature aggregates people, places and things based on user input and quickly provides interesting and sometimes surprising content. That only happens thanks to nifty natural-language processing work that goes on behind the scenes. And it only works with English — for now. In an article posted to Facebook’s engineering blog on Monday, research scientist Maxime Boucher and Xiao Li, engineering manager on the natural-language team in Graph Search, provide detailed information on the ways in which Graph Search calls on natural-language processing to guess what users want. Graph Search breaks down search strings into multiple components that serve as commands with which the system can query the database. Graph Search still has a long to-do list for engineers to address.