Name
Abstract | ||
|---|---|---|
Product recommendation is an important aspect of many e-commerce systems. It provides an effective way to help users navigate complex product spaces. In this paper, we focus on critiquing-based recommenders. We present a new critiquing-based approach, History-Guided Recommendation (HGR), which is capable of using the recommendation pairs (item and critique) or critiques only so far in the current recommendation session to predict the most likely product recommendations and therefore short-cut the sometimes protracted recommendation sessions in standard critiquing approaches. The HGR approach shows a significant improvement in the interactions between the user and the recommender. It also enables successfully accepted recommendations to be made much earlier in the session. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2567948.2578844 | WWW (Companion Volume) |
Keywords | Field | DocType |
critiquing-based recommenders,history-guided conversational recommendation,hgr approach,protracted recommendation session,recommendation pair,current recommendation session,complex product space,product recommendation,likely product recommendation,accepted recommendation,new critiquing-based approach,recommender systems | Recommender system,World Wide Web,Computer science | Conference |
Citations | PageRank | References |
4 | 0.38 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasser Salem | 1 | 33 | 2.09 |
| Jun Hong | 2 | 32 | 5.90 |
| Weiru Liu | 3 | 1597 | 112.05 |