Show simple item record

dc.contributor.authorWang, Yixue
dc.contributor.authorYao, Siyu
dc.date.accessioned2020-08-10T19:48:51Z
dc.date.available2020-08-10T19:48:51Z
dc.date.issued2020-05
dc.identifier.otherWang_cornell_0058O_10853
dc.identifier.otherhttp://dissertations.umi.com/cornell:10853
dc.identifier.otherYao_cornell_0058O_10812
dc.identifier.otherhttp://dissertations.umi.com/cornell:10812
dc.identifier.urihttps://hdl.handle.net/1813/70228
dc.description26 pages
dc.description.abstractPeople’s online content choices should be driven by their intentions, but can be greatly affected by online recommendation systems. Existing recommendation systems mostly focus on promoting popular items and users’ historical records, thus may bias users against their original intentions. To study the problem, we launched a field study to compare the effects of intention-informed recommendations with classical intention-agnostic systems in the context of YouTube videos. We built a website to collect participants' intended video categories, recall video categories, and their opinions and usage of YouTube. We aim at conducting an intervention study with different recommendation on control and test group. The intervention is conducted with automatic emails containing videos of different categories, either intended categories suggested by the participants or the categories recalled by them. By examining users' responses under different interventions, we could compare the effects of intention-aware and unaware recommendations. As a reward for our participants, we also build an interactive visualization platform for people to know better about their own YouTube online data.
dc.subjectrecommendation
dc.subjectvideo
dc.titleSTUDY ON INTENTION-AWARE RECOMMENDATION OF YOUTUBE VIDEOS
dc.typedissertation or thesis
thesis.degree.disciplineInformation Science
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Information Science
dc.contributor.chairAzenkot, Shiri
dc.contributor.committeeMemberEstrin, Deborah
dcterms.licensehttps://hdl.handle.net/1813/59810
dc.identifier.doihttps://doi.org/10.7298/tahm-b673


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Statistics