With the increasing amount of data on web, people start to need tools which will help
them to deal with the most significant ones among the thousands. The idea of a
system which recommends items to its users emerged to fulfill this inevitable need.
But most of the recommender systems make recommendations for individuals. On
the other hand, some people need recommendation for items which they will use or
for activities which they will attend together. Group recommenders serve for these
purposes. Group recommenders diverge from individual recommenders such that
they need to aggregate members of the group in a joint model, and in order to do so,
they need a user satisfaction function. There are two different aggregation methods
and a few different satisfaction functions for group recommendation process. Reading
groups domain is a new domain for group recommenders. In this thesis we propose a
web based group recommender system which is called BoRGo: Book Recommender
for Reading Groups , for reading groups domain. BoRGo uses a new information
filtering technique and present a media for post recommendation processes. We
present comparative evaluation results of this new technique in this thesis.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614026/index.pdf |
| Date | 01 February 2012 |
| Creators | Duzgun, Sayil |
| Contributors | Birturk, Aysenur |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for METU campus |
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