Holiday Gift Guide
Answer a few questions and let our AI pick the perfect Holiday present for anyone in your list!Let's Go!
Don't stress to find the perfect gift – our Intelligent Holiday Gift Guide will save you time and money. All you have to do is to answer a few questions about the person for whom you wish to find a gift, and we will give you the best matching Holiday present ideas based on what would make that person happy. We do this with the help of Artificial Intelligence and a bit of Santa's elf magic.
How do I know this will work?
pick.gifts is powered by Spark2, a set of our proprietary Machine Learning algorithms that produce gift recommendations based on multiple data points. Besides taking into account the information you provide, our system analyzes and constantly learns from the historic data of other users.
The magic begins the moment you start answering our fun quiz questions–our system uses your answers to filter out the least matching products, and then compares your data with that provided by other users who have bought similar items in the past. Whether you are shopping for your significant other, colleague, family member, or best friend, you can be certain that our system will recommend the best gifts for everyone on your list.
Is it really free?
Yes! Our service comes completely free of charge and you can use it as many times as you like. In fact, the more people use pick.gifts, the better it gets. Each time someone uses our service, our Machine Learning-powered system teaches itself and gets even smarter in finding great gifts.
We only earn a little commision from sellers on a limited scope of products which our algorithm may or may not choose to recommend. However, it will never suggest you something that doesn't fit the profile of the person for whom you wish to find the perfect gift.
What happens with my data?
We only collect impersonal data and every answer you provide is never attributed to you or any other specific person. The anonymous data that we journal is used solely by our algorithm for the purpose of improving the service that we provide. We never share data with third parties, nor do we share it between individual users.
If you would like to dive deeper still…
Imagine a guy named Billy. Billy wants to buy a gift for his wife. "Something nice" says Billy, "Maybe a purse, or a pair of shoes". He knows nothing about purses but he thinks he has a rough idea of what kind of shoes his wife would love. "Something classy, with high heels" according to Billy. Yet he's totally clueless about this season's women apparel trends or the best brands to pick from. He browses over dozens of online shops, reviews and even YouTube videos only to get completely underwhelmed as he learns that a pair of high heels might cost anything between $50 and $1550.
Billy's problem is quite predictable: as high heels have different brands, manufacturers, dozens of materials, their cost depends on trends, seasonal demand spikes, and who knows how many more hidden factors unknown to our dear Billy. Naturally, he can't into account all the new information as to consider the best option.
Puzzled and beyond any hope Billy asks for an advice from his colleague Jane. Unfortunately, Billy is clueless about the fact Jane is a sneaker person, and that her taste differs radically from that of Billy's wife's. So the advice Billy gets results in a very different outcome than he expects–although his wife is moved by Billy's good intentions, she only wears the shoes once, only not to upset her caring husband.
Had Billy known of pick.gifts, this scenario would have played very differently. Billy wouldn't have needed to go through all the pains only to waiste $300 on a pair that his wife would never wear. Based of the information that Billy has provided, our system would have matched it to the historical data of similar persons to come up with a thoughtful gift that would have made his wife impressed.
People are only capable of taking into account a limited amount of data. For huge amounts of information we need robots to do the maths for us so we could find all the hidden patterns related to the most matching options. The most exciting thing is that the machine copes with this task much better than a real person does when carefully analyzing all the dependencies in their mind.
The perfect gift estimation can be treated just as any other Machine Learning problem. In our case the goal of this problem is to get the optimal output (a personalized gift idea) given some inputs (your answers) that can be interpreted by algorithms. The key aspect of Machine Learning algorithms is that they are “trained” with real-world data, and not designed according to defined rules.
To come up with the perfect gift recommendations, we use an ensemble of collaborative filtering (such as matrix factorization, nearest neighbors) algorithms, which work on the user interactions (such as product views or purchases), and content-based algorithms, which work on the gift item properties (such as brand names, descriptions, user reviews and many more).
We all enjoy a laugh as much as the next guy but here at pick.gifts, we believe that gift giving is 100% serious business. We are here to ensure that you will always get the best present ideas for everyone on your list.