arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1609.06004cs.SI
收藏

Fiverr市场特征的大尺度分析

A Large-scale Analysis of the Marketplace Characteristics in Fiverr

Suman Kalyan Maity, Chandra Bhanu Jha, Avinash Kumar, Ayan Sengupta, Madhur Modi, Animesh Mukherjee

摘要:

由于基于人类计算的任务的需求不断增加,众包平台已经变得非常流行。虽然众包系统主要是需求驱动的,如MTurk,但供应驱动的市场正变得越来越受欢迎。Fiverr是一个快速增长的供应驱动型市场,卖家发布微任务(演出),用户以低至5美元的价格购买。在本文中,我们研究了Fiverr平台作为一个独特的市场,并描述了卖家,买家以及他们之间的互动。我们发现,卖家在互动中更加安抚,并试图吸引买家购买他们的演出。在卖家-卖家网络中存在许多紧密联系的小社区,他们相互支持。我们还研究了Fiverr作为一个卖方驱动的市场,在销售,流失率,各种子类别之间的竞争力等方面,并观察到,虽然与普通市场有一定的相似之处,但也有许多不同之处。

英文摘要:

Crowdsourcing platforms have become quite popular due to the increasing demand of human computation-based tasks. Though the crowdsourcing systems are primarily demand-driven like MTurk, supply-driven marketplaces are becoming increasingly popular. Fiverr is a fast growing supply-driven marketplace where the sellers post micro-tasks (gigs) and users purchase them for prices as low as $5. In this paper, we study the Fiverr platform as a unique marketplace and characterize the sellers, buyers and the interactions among them. We find that sellers are more appeasing in their interactions and try to woo their buyers into buying their gigs. There are many small tightly-knit communities existing in the seller-seller network who support each other. We also study Fiverr as a seller-driven marketplace in terms of sales, churn rates, competitiveness among various sub-categories etc. and observe that while there are certain similarities with common marketplaces there are also many differences.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑