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The Web is a whimsical mood ring.

Last week, TechCrunch pointed me to a new and wonderfully whimsical website, CookThink.com, that magically conjures up recipes according to your current craving. Well, maybe semantic web searches can’t really be called “magic,” but they certainly offer an array of new possibilities for communication and the interweb.

At CookThink.com, I curiously clicked the “Mood” section and, giggling, clicked “forceful”:

“Forceful” was added in to the orange box to the right, after which I clicked “cookthink it!” Much to my delight, the following recipe appeared on my screen: Mexican Pilaf With Cumin and Jalapeño. For the record, all of these things are fucking delicious. “Is this what you’re craving?” the page asked me. Why yes, yes it is… but, moving on to the exploration…

What popped up on my screen was not just a recipe. Along the left-hand side was a selection of other recipe the current one “goes with,” in this case White Bean and Broccoli Burritos With Cilantro and Fish Tacos With Avocado, Feta, and Cabbage, as well as some “related tips:” Why are some jalapeños hotter than others? How hot is a jalapeño? Along the right-hand side was a single ad requesting your donation of $35 to provide a hand pump for drinking in Cambodia. When I refreshed, the ad space was requesting that I “help stop animal cruelty& suffering.” At the top of the ad were the words “BlogHer Ad Network,” which states on its homepage: “BlogHer is the definitive guide to what women who blog and their readers are doing and talking about all over the Internet.”

So, that website is pretty sweet.

I like this method of searching. It should be expanded to all things. Music, for example, is something I’d love to come across by searching for specific moods. While online radio sites like somafm and besonic.com offer a handful of “mood options” and AllMusic.com lists descriptive words for bands, songs, albums and artists that allow for viewer input, I was unable to find a working database of music searchable by mood. Can anyone help me out?

Lit Review: Unraveling the Taste Fabrics of Social Networks (Liu, Maes & Davenport)

-Sought to uncover a semantic fabric of taste derived from the language used in 100,000 social networking profiles, dubbed the social Semantic Web.
-First mapped users onto taste-spaces, then compared the taste-similarities of participants.
-Moving away from formal semantics toward implicit and emergent semantics that are organized from the bottom up- folksonomies that include taste neighborhoods, identity hubs, and taste cliques.

Theoretical Background
1. Authentic Identity and Aesthetic Closure
-Contemporary culture is marked by consumeption preferences of diverse demographic categories- a culture of plenitude, in which identities are described using the vocabulary of preferences (McCracken).
-Simmel: the individual is born as an unidentified contents that evolves into identified forms, a truly authentic identity.
-Lacan: the self is a mediated construction in the Other (supported by the Sapir-Whorf hypothesis and feminism)
-Csikszentmihalyi and Rochberg-Halton: consolidates the above two theories- an individual’s “symbolic environment” both echoes and reinforces her identity. This is the framework from within which this study works.
-Aesthetic Closure: when an individual’s interest can be regarded as unified, interconnected, sharing a common aethetic.
-Diderot Unity: the compulsion of consumers for consistency, to like that which we consume in a consistent and unified manner- provides support for aesthetic closure.

2. Upper Bounds on Theoretical Ideal
The above theory is problematized by a number of factors:
-Goffman’s theory that performance is inherent in socialization- we all wear different masks depending on the social context. Identities are viewed as multiplicitous- online profiles provide only a single flat view.
-boyd’s theory that, because profiles may be viewed by myriad social circles, the individual is forced to take such publicity in account, resulting in self-censorship.
-boyd also points out profiles are often abandoned over time, resulting in static representations/artifacts of past identity performance.

3. Identity Keywords vs. Interest Keywords
-Examined both broad interests as well as special interests (such as cultural identities).
-Special Interests are usually placed at the top of profiles, while more specific interests are listed later on. The former is used to place individuals into categories, while the latter serve as more detailed descriptors.

Weaving the Taste Fabric
-A single crawl of two SNCs mined information from 100,000 profiles.
-To preserve anonymity, only the text of descriptors was used.
-Because language fragments are often used in specific categories, 90% of them were successfully segmented.
-In the case of general interests, about 75% were successfully segmented, as they often contained more idiosyncratic speech.
-Descriptors were then coded in order to create a common language of categories using sources such as wikipedia’s article on subcultures, IMDB, AllMusic, AllRecipes, etc;
-21,000 interest descriptors and 1,000 identity descriptors coded.
-Correlation analysis was then conducted via numeric strength of semantic relatedness.
-Identity Hubs: One’s location in the fabric is described in terms of proximity to the various identity hubs, which serve as an index of identities.
-Taste Cliques: cliques of interest based on taste- for instance, “Soccer,” “Manu Chao”, “tapas” and “Samba Music” would be an example of a Latin taste clique.
-Taste Neighborhoods: larger, more permanent taste cohesions

What is a Taste Fabric Good For?
-InterestMap: taste-based recommendation system- an interactive map where users can input descriptors and receive recommendations based on a navigatable map of descriptors
-Ambient Semantics: facilitates interaction between two strangers who share taste.
-IdentityMirror: makes identity self-management possible
-A dynamic model of taste would take context into account- current events, location

One of the implications I derived from this article was the potential for the creation of true interest-based communities that are capable of a radical clarification and reconfiguration of the networked individual. How addictive it would be, I imagine, to have a system before you powerful enough to know what you like before you’re even aware that you did. Oh yeah, check this out:

Pentagon to Merge Next-Gen Binoculars With Soldiers’ Brains

‘Sup, Big Bro?