The Library
A market-based approach to address the new item problem
Tools
Tools
Tools
Anand, Sarabjot Singh and Griffiths, Nathan (2011) A market-based approach to address the new item problem. In: Fifth ACM conference on Recommender systems, Chicago, IL, 23-27 Oct 2011. Published in: RecSys '11 Proceedings of the fifth ACM conference on Recommender systems pp. 205-212. doi:10.1145/2043932.2043970 ISSN 9781450306836.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1145/2043932.2043970
Abstract
In this paper we propose a market-based approach for seeding recommendations for new items in which publishers bid to have items presented to the most influential users for each item. Users are able to select (or not) items for rating on an earn-per-rating basis, with payment given for providing a rating regardless of whether the rating is positive or negative. This approach reduces the time taken to obtain ratings for new items, while encouraging users to give honest ratings (to increase their influence) which in turn supports the quality of recommendations. To support this approach we propose techniques for inferring the social influence network from users' rating vectors and recommendation lists. Using this influence network we apply existing heuristics for estimating a user's influence, adapting them to account for the new items already presented to a user. We also propose an extension to Chen et al.'s Degree Discount heuristic [Chen et al. 2009], to enable it to be used in this context. We evaluate our approach on the MovieLens dataset and show that we are able to reduce the time taken to achieve coverage, while supporting the quality of recommendations.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
| Journal or Publication Title: | RecSys '11 Proceedings of the fifth ACM conference on Recommender systems | ||||
| Publisher: | ACM | ||||
| ISSN: | 9781450306836 | ||||
| Book Title: | Proceedings of the fifth ACM conference on Recommender systems - RecSys '11 | ||||
| Official Date: | 2011 | ||||
| Dates: |
|
||||
| Page Range: | pp. 205-212 | ||||
| DOI: | 10.1145/2043932.2043970 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | Fifth ACM conference on Recommender systems | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Chicago, IL | ||||
| Date(s) of Event: | 23-27 Oct 2011 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
