A Simple Word Trigger Method for Social Tag Suggestion

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 1577–1588, Edinburgh, Scotland, UK, July 27–31, 2011. c⃝2011 Association for Computational Linguistics A Simple Word Trigger Method for Social Tag Suggestion Zhiyuan Liu, Xinxiong Chen and Maosong Sun Department of Computer Science and Technology State Key Lab on Intelligent Technology and Systems National Lab for Information Science and Technology Tsinghua University, Beijing 100084, China {lzy.thu, cxx.thu}@gmail.com, sms@tsinghua.edu.cn Abstract It is popular for users in Web 2.0 era to freely annotate online resources with tags. To ease the annotation process, it has been great interest in automatic tag suggestion. We propose a method to suggest tags according to the text description of a resource. By consid- ering both the description and tags of a given resource as summaries to the resource written in two languages, we adopt word alignment models in statistical machine translation to bridge their vocabulary gap. Based on the translation probabilities between the words in descriptions and the tags estimated on a large set of description-tags pairs, we build a word trigger method (WTM) to suggest tags accord- ing to the words in a resource description. Experiments on real world datasets show that WTM is effective and robust compared with other methods. Moreover, WTM is relatively simple and efficient, which is practical for Web applications. 1 Introduction In Web 2.0, Web users often use tags to collect and share online resources such as Web pages, photos, videos, movies and books. Table 1 shows a book entry annotated with multiple tags by users1. On the top of Table 1 we list the title and a short introduction of the novel “The Count of Monte Cristo”. The bottom half of Table 1 shows the annotated tags, each of which is followed by a number in bracket, the total number of users who 1The original record is obtained from the book review website Douban (www.douban.com) in Chinese. Here we translate it to English for comprehension. use the tag to annotate this book. Since the tags of a resource are annotated collaboratively by multiple users, we also name these tags as social tags. For a resource, we refer to the additional information, such as the title and introduction of a book, as description, and the user-annotated social tags as annotation. Description Title: The Count of Monte Cristo Intro: The Count of Monte Cristo is one of the most popular fictions by Alexandre Dumas. The writing of the work was completed in 1844. ... Annotation Dumas (2748), Count of Monte Cristo (2716), foreign literature (1813), novel (1345), France (1096), classic (1062), revenge (913), famous book (759), ... Table 1: An example of social tagging. The number in the bracket after each tag is the total count of users that annotate the tag on this book. Social tags concisely indicate the main content of the given resource, and potentially reflect user interests. Social tagging has thus been widely studied and successfully applied in recommender systems (Eck et al., 2007; Yanbe et …

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