Sci-fi Novel - The Love Algorithm - Part 26

Part 1: Our Sweet Home
Part 2: Love In 12 Minutes
Part 3: Machiavellian Berkan's Concerns
Part 4: Bonanza and His Friends
Part 5: Long-lasted Love
Part 6: Pre-design Battle
Part 7: My Dear Father
Part 8: Video Speech of A Public Enemy
Part 9: A Job Interview
Part 10: The Second Great Attack
Part 11: Big Hopes
Part 12: An Unexpected Disaster
Part 13: Sediment of the Days
Part 14: The Goddess Of Matchmaking, Gülizar
Part 15: Saturday Night Fever
Part 16: Red Alert
Part 17: Writing the Codes of Love
Part 18: Bombastic Folk Singer Ayhan
Part 19: The Drama Of An Ordinary Toy Soldier
Part 20: Phone Call In The Morning
Part 21: The Land of Angry Invoices
Part 22: Last Cliff Before The Bridge
Part 23: The Questionnaire
Part 24: The Cursed Prophet Murphy
Part 25: When Love Hits The Door

Part 26: Among Data Stacks

Diogenes, who was wandering the streets of Athens with his torch, answered people who asked what he was looking for as “I am looking for a man." If he lived, he would not like me to search the secrets of love among data stacks, because he was opposed to monogamy as it was not common in nature. Similar to Diogenes, mathematics seemed to rebel against one-to-one relationships. If the algorithms I used were not enforced, they would produce triplets of human beings instead of finding a soul mate. Although multiple matches and temporary relationships have been experienced and accepted in certain narrow social circles, they were not suitable for commercial activity. The majority of the population seemed to have taken the idea that, with the influence of novels, films and social norms, every man and woman should only have a soul mate and that they would be a completely different person when they meet their soulmate.

Although algorithms tend to behave independently when they are left to their natural state, they are not rebellious by nature. I've already researched and found the algorithm to match a person to another who prefers the opposite sex. You can argue that there is no need to research this, you can bring together those who like each other, and it will be done. As you may have experienced, supply, and demand in the relationship market often do not coincide with each other. Some people are more desirable than others because of their age, physical characteristics, personality, family histories, fame, wealth, or a combination of these. A person who is obsessed with one of the opposite sex will be condemned to be alone if the person he/she is interested in does not like himself/herself as a result of a divine coincidence. So the users of Gulizar had to focus on multiple alternatives to find their partners. First of all, the algorithm matched the mutual first choice of candidates. Then, the first preferences and the second preferences were matched, and this was the way the process continued. Of course, these preferences were primarily for just texting, then making a video call and having a face-to-face conversation if everything went well.

Gulizar would do the same as Google who brings search results in front of people and do not interfere with what they would do with the information. The most important priority was to minimize the security risk of the people who meet on the platform. Gulizar warned our users in a gentle tone to protect them from psychopaths, fraudsters and Don Juans. We have worked on the texts of speech for days so that the warnings are not dull or too frightening. It was a different approach than asking users to specify their own choices and to make the best possible match over these preferences, suggesting reasonable people who might be the love of their lives. On the one hand, we were trying to combine these two approaches to support each other; on the other hand, we were trying to develop the love algorithm, which was our core competency. The similar taste of music was an essential factor for souls that would vibrate at the same frequency. Aware of this situation, music platforms were trying to ensure the satisfaction of their users through innovative applications such as messaging during a song.

It was a fact that I had a similar music taste with Deniz. It was clear to me that although I liked her to some extent, she didn't have any particular feelings for me. As far as I know, Deniz had no boyfriend. Even though we've been working together for quite some time, I didn't know about her as much as my classmates in high school. Although I was familiar with her personality, appearance, and abilities over time, I had no idea who she was, what she expected from life. The essence of her soul was hidden behind a mist curtain, avoiding diving into deep waters during a conversation. The love algorithm I've been working on for months didn't match me with Deniz, so it's not in vain. I thought long enough about why the algorithm didn't match us, we had a sample group of 3,000 people, including company partners, and Deniz was not among 22 candidates that the algorithm offered me with Facebook data. Deniz was not included in the final model's outcome, nor she was not included in any model's recommendations. These results didn't upset me; I didn't think it was a big deal that Deniz didn't consider me in that sense. I wasn't sure if I liked her, but the relationship between us seemed to me like some kind of game, not to be a winner or a loser, but to be in the game was enough for me. I already had a job that I had to focus on and an algorithm that turned into Arab hair. We had practiced enough, now it was time to go out on the field and test the platform, and Aunt Gülizar would meet the virtual character Gülizar, and organize the experiment by the young people who stayed at her hostel. I fell asleep during the thought experiment that I connected the process flows to the logical operations performed by the algorithms running behind.

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