Made for Metis: Geo-Tagged Places of Interest & Musician Links on Craigslist

In this month’s edition within the Made with Metis blog series, jooxie is highlighting a pair of recent individual projects that contain to do with traveling to new urban centers. In the very first example, trainees explored different and superior ways to come across places of interest even while planning vacations. In the subsequent, a student got down to understand how and even why music artists and bands sought and found connections in most cities by Craigslist. Learn much more concerning both captivating projects beneath:

When within the what to see, explore, take in, and more within a new locale, many people use online research for reviews in addition to write-ups. Here’s one example:

‘Hawk Hill is really a 923-foot top in the Marin Headlands, simply north from the yellow metal Gate Link and surrounding the Golden Entrance strait out of San Francisco, The state of california. The huge batch is within the main Golden Door National Store. ”

And also, if you’re Metis graduate Kalgi Shah, you’d prefer to look into an image like the one below to secure a visual sense of destination rather than just reading through about it.


Shah is often a travel fan and a person who’d would rather plan the adventures working with photos in the form of guide. Nonetheless she discovers many place-of-interest recommendation solutions to be “painful to use. ” So she got to develop creating her own product, identified as SNAPLOC, of which “does intelligent image classification and spatiotemporal analysis as a way to recommend often the places of interest meant for traveling from a new locale, ” your woman explained in a blog post concerning project, which often she finished as your girlfriend final assignment while students at Metis.

“I started out looking at the photos that people take and placing… on different services in addition to saw that a lot of of these images convey your interests and is categorized within food, all natural scenes/scapes, in-town scenes, creatures, birds, and so forth, ” your lover writes. “Further, I could experience pattern about places where stopping more snap shots taken as compared to others along with there were purchasing pictures considered at varied locations and different times of constructed out of . The very question we wanted to experience using these spatiotemporal patterns was, how to use the following data generate an application which can figure out how to parse them and create recommendations while using preferences with user. lunch break

Read the woman post in full to learn ways she attained her end goal, including the best way she initiated by classifying around you million geo-tagged images at Flickr.

Similar to Shah, recent Metis graduate (and favorite songs enthusiast) Robert Hill normally found themselves in brand-new cities, in which he’d often be “yearning to play with other music players to learn fresh guitar strategies, cover my personal favorite songs, or simply just jam and original components, ” he / she wrote on his blog.

For this, he generally relied around the ‘musicians’ subject material on Craigslist ads. For his or her 4th (of 5) venture at Metis, he “wanted to use to magnify what unique musician areas value for aggregate… We were… interested in considering the posts’ text to discover sub-communities about Craigslist ‘musicians’ users for additional info on the poster’s motivations to get putting out commercials, where these different motivations cluster around major Oughout. S. urban centers, and perhaps read more about these poster’s tendencies. lunch break

To get the profession done, this individual used issue modeling that will categorize the exact posts in Craigslist, thereafter built the Flask component “to see how these kind of categories switch across distinct cities. lunch break

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Made for Metis: Geo-Tagged Places of Interest & Musician Links on Craigslist
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