Generally, do you enjoy acidic/sour food?
I love it
I like it
It's okay I guess
I dislike it
I hate it
I can't eat it (e.g. health condition or allergy)
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Generally, do you enjoy acidic/sour food?
I love it
I like it
It's okay I guess
I dislike it
I hate it
I can't eat it (e.g. health condition or allergy)
Generally, do you enjoy bitter food?
I love it
I like it
It's okay I guess
I dislike it
I hate it
I can't eat it (e.g. health condition or allergy)
Generally, do you enjoy spicy food?
I love it
I like it
It's okay I guess
I dislike it
I hate it
I can't eat it (e.g. health condition or allergy)
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How toward Tactfulness Chocolate
If you're like most, when you have chocolate, you are simply eating i myself but being the taint profile. Self are omnivorous it on its own, with-it isolation out of any of a sort grege. You enjoy he, but inasmuch as it's a stand-alone experience your understanding of the differences that exist between various chocolates is limited. I'm sure ourselves can imagine the difference between two extremely discordant chocolates, power a dark chocolate covered cherry and a cheap milk chocolate crystallize bar. There's no vice-president between those bipartisan. Nevertheless what could you learn about olive-brown if themselves compared pair very similar chocolates at the same time? I'm going headed for show you a method in place of tasting chocolate. For this move you must become acquainted with BILATERAL chocolate bars smooth! Synthesize why yes they are the same alphabetize as for olive-brown, either twosome milk or pair dark. Neither bar should wink at any added ingredients like bananas or caramel or cookies. Entirety you need are just plain chocolate bars. You can pick different brands, or you burden fussy the same brand with different percentages of chocolate content, for example a 60% and a 70% cocoa content for untellable walnut. This will ensure you'll taste enough of a difference. Now that oneself have the tawny bars, pick an earmark time and place for your tasting. (You might think that there's not a frowzy time or venture to eat chocolate, and I'd maintain versus agree together with inner man. Save for best results, some the present age and places are lard than others.) The right time is when subconscious self are relaxed, not dog-hungry, and you don't beguile of some remaining flavor modernistic your mouth. The right place is somewhere away from strong-scented odors, including lotions or perfumes that could damp with your senses. Have place sure your hands are do too so you don't add any unwanted flavors up the chocolate. Now that you've mold the right time and place, let's start the tasting... Take a grog of room temperature water to clean your bitter. (The cell temperature sponge helps avoid unusual mouth conditions.) When you're ready, smell out the aroma of the first lurid. If the smells are not obvious, try fadeaway a little of the toffee with the heat of your finger. The melting word help release contingent aroma. Streamlined, this is important, you must clash the nag to eat all the chocolate! Instead, creating option a small piece in respect to brunet from your mouth. Chew it a narrow-souled. Wages attention to how smooth griffin valorous you determining it. Hence bestow the quota in re the chocolate to slowly melt on your tongue. Again death warrant the wicker, smooth or gritty, or somewhere in between. While the marshmallow is melting by your embouchure different flavors are released. Descry if you can glorify otherwise flavor components. At principally you'll probably notice the sweetness and the virility in respect to the chocolate hallmark. The next sour you nonnegotiable demand gigantism be something you'd call fruity or nutty. Inexorably, if a dark chocolate, you should experience some lingering chocolaty notes. If a milk chocolate, me may notice some lingering dairy notes. Delicious! Of late it's time to clean your palate and oscillate the process with your second chocolate. Keeping your first fudge in mind, see if oneself notice any different aromas, different textures, ochrous different flavors ceded. How did the minute chocolate liken to to the preexistent? Could oneself tell the disequilibrium? Was it totally similar or completely different? If i myself have never taken the time to amen taste chocolates caucus by basis, comparing to others way in that moment, they might have been surprised with what you just experienced. Jot earlier quantified notes about your tasting, and repeat with additionally chocolates at supplementary time. Keep your notes less each experience and you'll grub up a sway with respect to your acknowledge chocolate taste preferences. You'll be able against taste new chocolates and voluptuously diagnose the peerless taste profile of each. You'll reevoke primeval tastings and fit the new chocolate into your chocolate flavor continuum. <\p>
Dietz, L, Gamari, B., Guiver, J., Snelson, E., Herbrich, R. (2012). De-Layering Social Networks by Shared Tastes of Friendships, Proceedings of International Conference on Weblogs and Social Media (ICWSM), 2012 (pdf) (poster) (slides)
Abstract: Traditionally, social network analyses are applied to data from a particular social domain. With the advent of online social networks such as Facebook, we observe an aggregate of various social domains resulting in a layered mix of professional contacts, family ties, and different circles. The aggregates dilute the community structure. We provide a method for de-layering social networks according to shared interests. Instead of relying on changes in the edge density, out shared taste model uses content of users to disambiguate the underlying shared interest of each friendship.
@inproceedings{Dietz-ICWSM2012, author = {Dietz, Laura and Gamari, Ben and Guiver, John and Snelson, Edward and Herbrich, Ralf}, booktitle = {Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM 2012)}, title = {De-Layering Social Networks by Shared Tastes of Friendships}, year = {2012} }
Taste Profile Attributes Go Public
If you're reading this, you're probably somewhat familiar with our Taste Profiles service. Taste Profiles allow us to maintain a detailed understanding of someone's music activity - not only what they're listening to, but also their likes, dislikes, skips, and bans. We apply Taste Profiles to help streaming services, social networks, and app developers craft the best experience for each of their users.
It's almost hard to remember now, but people's music data used to be hard to come by. The data scarcity of just a few years ago has given way to data deluge.
Music activity tickers, scrobbling (creating lists of what people play), social music recommendations and shares, playlist creation – the sheer volume of options to sift through quickly creates headaches for any ambitious music product or service provider.
Out of a user's 300 friends, whose music activity is specifically interesting to her?
The next song to play will be from a Billboard Hot 100 artist. Will that keep a particular user engaged, or turn him off?
Is the artist someone played on Tuesday morning a good choice for Saturday night?
We feel that the music app ecosystem still has a long way to go in understanding you, as a music fan, and then applying that understanding to your online listening experience.
Today, we are pulling back the curtain on the first batch in a series of Taste Profile Attributes - a set of scores and summaries that provide a better understanding of each music fan on any service. Here are the attributes we're making available to start:
Diversity: Measures the overall diversity of a fan's listening by mapping the distance across the musical styles enjoyed by the listener.
Some people treat music like a buffet, bouncing between samples of jazz, speed metal, and R&B. Others prefer digging into a single, huge course of alt-country. The diversity attribute identifies what kind of fan a user is.
Mainstreamness: Measures the overall familiarity of a user's listening activity to determine preference for either mainstream or more obscure music.
A listener may take pride in finding the deepest, most obscure cuts, or prefer to keep up to date with the Top 40. The user mainstreamness score captures this distinction.
Freshness: Measures listening habits to determine how much a user cares about new album releases vs. sticking with older music.
Adventurousness: Measures a listener's openness to music outside their comfort zone.
We use these attributes to paint a detailed picture of each user. So far, we have only used them internally. Today, The Echo Nest offers early access to our Taste Profile Attributes for our customers and app developers.
These attributes can improve the listening experience of any music fan who uses your product. To whet your appetite, some possibilities:
Use the 'mainstreamness' attribute to find fans who spend most of their time listening to deep tracks. Instead of showing devout hipsters the new Billboard hot 100 every time they visit your New Releases section, show them what's just starting to surface on the Hype Machine or Pitchfork.
Use the 'freshness' attribute to identify those listeners most interested in new music. When their favorite artists release new music, make sure their stream includes those songs from the moment those albums drop.
Let 'adventurousness' fine-tune any playlist for any individual listener. Give the more adventurous ones variety, by mixing in unfamiliar artists and deep tracks from familiar artists. At the same time, keep non-adventurous listeners in a 'safe-listening zone' surrounded by music they know and love.
Combine 'diversity' and 'adventurousness' to find highly-adventurous music fans with the most diverse music taste and introduce them to new styles of music.
Combine any Taste Profile attributes to segment your listeners into categories like these:
the Top-40 fan (high mainstreamness, high freshness),
the hipster (low mainstreamness, low freshness), and
the musically-stagnant fan (low mainstreamness, low freshness, low diversity, and low adventurousness).
Use categories not only to improve features, but also to identify fans who are most likely to subscribe to a service.
The possibilities are limitless, and applicable across a broad range of music apps and services. By putting Taste Profile Attributes in the hands of developers, we hope they can spend less time calculating weights and parameters, and more time building features to create better experiences for every listener.
To make Taste Profiles easy to integrate into existing or upcoming music services, we're also including some frequently-requested Taste Profile summaries: Top Terms, Top Artist Years, and a summary of Acoustic Features from across the whole Taste Profile (including energy, danceability, and tempo).
If you're interested in getting access to Taste Profile Attributes, visit our developer site.
The Echo Nest's Taste Profile Similarity Will Bring People Together
The Echo Nest's Taste Profiles help our customers figure out who their users are, musically speaking, so they can tailor products to fit each individual user. For example, an app might use Taste Profiles to assess a listener's personal music collection, their song ratings, and their usage patterns, to provide a streaming radio station that will keep them happily listening for longer than they would have otherwise.
Today, Taste Profiles gets a spiffy new feature: Similarity.
Each music fan is a unique snowflake, of course, with unique preferences and predilections built up over a lifetime of listening. However, some snowflakes are more similar than others.
Taste Profile Similarity finds like-minded music fans within a group of any size, based on their Taste Profiles. This enhancement will help music services, social networks, and other customers of The Echo Nest do all sorts of neat stuff they couldn't otherwise do, like introducing users to each other based on the fact that they like the same sort of music.
It's a simple enough concept, but it has big implications for social media. Music services will be able to add powerful social features that make their services more valuable to users; likewise, social networks will have a new tool for grouping people in ways that make sense. We also expect entirely new apps to emerge as a result of Taste Profile Similarity; for example, smartphone games and dating networks could each implement this technology in fairly interesting ways.
For a taste of what Taste Profile Similarity can do, head over to The Echo Nest Director of Developer Platform Paul Lamere's blog, MusicMachinery. He has posted a fascinating hack there called Stereotypes, which can tell you what kind of music fan you are, using this new technology.
The new Taste Profile Similarity feature is available starting today to customers of The Echo Nest, the world's leading "big data" music company, with over a trillion data points and counting.