Name
Title | ||
|---|---|---|
Towards the Effective Linking of Social Media Contents to Products in E-Commerce Catalogs |
Abstract | ||
|---|---|---|
Online social media has become an essential part of our life. This media is often characterized by its diverse content, which is produced by ordinary users. The potential to easily express ideas and opinions has made social media a source of valuable information on a variety of topics. In particular, information containing comments about consumer products has become prevalent. Here, we are interested in linking products mentioned in unstructured user-generated content, namely open discussion forums, to their respective entities in consumer product catalogs. Among the issues associated with this task, ambiguity is a particularly hard problem, as users typically refer to the same product using many different forms and different products may share the same form. We argue that this problem can be effectively solved using a set of evidences that can be easily extracted from social media content and product descriptions. To achieve this, we show which features should be used, how they can be extracted, and then how to combine them through machine learning techniques. Experiments in three different product categories and two different datasets demonstrate that all the sources of evidence here proposed are important, while contextual information is fundamental to achieve higher levels of precision. In fact, our method, although straightforward, was able to achieve an average improvement of 0.17 in precision and 0.13 in F1 , when compared to the current state-of-the-art solution. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2983323.2983747 | ACM International Conference on Information and Knowledge Management |
Keywords | Field | DocType |
product linking,text mining,social media | Data mining,World Wide Web,Contextual information,Social media,Information retrieval,Computer science,Product (category theory),Ambiguity,E-commerce | Conference |
Citations | PageRank | References |
2 | 0.36 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henry S. Vieira | 1 | 2 | 0.36 |
| Altigran S. da Silva | 2 | 938 | 50.30 |
| Pável Calado | 3 | 809 | 55.33 |
| Marco Cristo | 4 | 618 | 39.30 |
| Edleno Silva de Moura | 5 | 988 | 75.44 |