Facebook Graph Search: benader je doelgroep slim & cross-mediaal

Graph Search wordt sinds de komst van de tijdlijn ‘the next big thing’ in Facebook. Naast dat bedrijven op een makkelijke manier kunnen verschijnen in deze uitgebreide zoekmachine van Facebook, kun je ze ook aan de andere kant gaan staan: de interesses van de doelgroep goed in kaart brengen, bijvoorbeeld. De resultaten kun je cross-mediaal inzetten. Ontwikkelingen en privacy Ondanks […]

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10 Facebook-tips die insiders je niet zomaar geven

De recente veranderingen op Facebook hebben ervoor gezorgd dat marketeers de afgelopen maanden moesten toezien hoe hun Facebook-pagina’s minder bereik realiseerden. Afgelopen week luisterde ik naar o.a. Jay Baer, Marc Blinder en de vele andere social media marketing-experts die hun kennis kwamen delen. Uit hun presentaties heb ik de allerbeste tips en trends gedestilleerd. Mijn conclusie? […]

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Term Frequency–Inverse Document Frequency: The Nerdy Way Facebook Sorts Graph Searches

Graph Search mobile FeatureAsk Facebook Graph Search for “books liked by founders” and you won’t see The Da Vinci Code or The Bible first, though they’re amongst the most Liked books. Instead you’ll see books disproportionately Liked by founders compared to the general population thanks to “Term Frequency–Inverse Document Frequency”. Surfacing The Tipping Point, and Design For Hackers shows how smart Graph Search is.

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With News Feed Unable To Handle All Of Our Content, Graph Search Will Lift Facebook Engagement

photo 2 3Many of you are probably presented with the same problem when logging into Facebook. The first thing that you see is your News Feed, with tons of content from your friends and pages that you like. Unless you sort your News Feed by recent, which isn’t always accurate, you have no idea what to look at first. This is a problem for Facebook, because you will probably interact with less content if you’re not shown something that interests you right away. Sure, Facebook has an algorithm based on what you like and who you’re friends with, and with that, they try to show you “relevant” things. It’s not the best, or only possible, solution. With today’s announcement of Graph Search, Facebook ensures that users will have the chance to interact with all of the content that they missed in their News Feeds. If you think about it, if you’re friends with 100 people, it’s unlikely that you’ll even catch 25 percent of the content that they ever post. The same goes for Twitter, and any other service that displays content in a “stream.” After performing a simple natural language search with Facebook, I found photos taken by people who live in my home city of Philadelphia: Of the photos above, I’ve only ever seen one of them, and that’s because I was tagged in it. Yes, we know that Facebook has a wealth of data and some of our most personal moments from the past few years, but the question has always been “What will Facebook do with it all?” Graph Search is the answer, essentially. Sure, whenever the word “search” gets used, we immediately draw comparisons to Google, which is clearly the leader in the space. When you look at Graph Search, though, you have to look at it through the lens of what it means for Facebook. Even its CEO, Mark Zuckerberg, said he doesn’t expect people to use Facebook as a search engine replacement, but what he probably hopes is that all of those photos, places we’ve been, people we’re friends with and things that we like will become “new” again. One reason why Facebook purchased Instagram is because it built up a community of people that love to do nothing other than take photos, like and comment on them. That engagement is what keeps fresh content coming up in the News Feed. That’s also why Facebook

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