{"title":"Session details: Paper session II","authors":"M. Schedl","doi":"10.1145/3255703","DOIUrl":"https://doi.org/10.1145/3255703","url":null,"abstract":"","PeriodicalId":178656,"journal":{"name":"Proceedings of the first international workshop on Social media retrieval and analysis","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Paper session I","authors":"Peter Knees","doi":"10.1145/3255702","DOIUrl":"https://doi.org/10.1145/3255702","url":null,"abstract":"","PeriodicalId":178656,"journal":{"name":"Proceedings of the first international workshop on Social media retrieval and analysis","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114668143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hyperlink-extended pseudo relevance feedback for improved microblog retrieval","authors":"Tarek El-Ganainy, Walid Magdy, A. Rafea","doi":"10.1145/2632188.2632204","DOIUrl":"https://doi.org/10.1145/2632188.2632204","url":null,"abstract":"Microblog retrieval has received much attention in recent years due to the wide spread of social microblogging platforms such as Twitter. Many research studies investigated different approaches for microblog retrieval. Query expansion is one of the approaches that showed stable performance for improving microblog retrieval effectiveness. In this paper we comprehensively investigate query expansion for microblog retrieval using pseudo relevance feedback (PRF) with different configurations. In addition, we propose a hyperlink-extended PRF by expanding queries using embedded hyperlinks in retrieved microblogs. Our experimental results on TREC microblog data showed that PRF alone could outperform many retrieval approaches if configured properly. Results also showed that utilizing hyperlinked documents in tweets for query expansion improves results over traditional PRF. Our best results achieved using hyperlink-extended PRF outperformed most of the reported results using other approaches.","PeriodicalId":178656,"journal":{"name":"Proceedings of the first international workshop on Social media retrieval and analysis","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115109637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Constructing effective and efficient topic-specific authority networks for expert finding in social media","authors":"Reyyan Yeniterzi, Jamie Callan","doi":"10.1145/2632188.2632208","DOIUrl":"https://doi.org/10.1145/2632188.2632208","url":null,"abstract":"Authority-based approaches are widely used in expert retrieval from social media. However, most of these approaches are applied to either topic-independent networks, or more topic-dependent networks which still contain topic-irrelevant users as nodes and interactions as edges. Therefore, authority estimation over these graphs is still not topic-specific enough. This paper proposes a more topic-focused authority network construction approach which provides more effective topic-specific authority modeling of users. Focusing the computational effort to more topic-specific authority networks also leads to significant gains in running time for authority estimation.","PeriodicalId":178656,"journal":{"name":"Proceedings of the first international workshop on Social media retrieval and analysis","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121035199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Differences between social media and regulatory databases in adverse drug reaction discovery","authors":"Chen Wang, Sarvnaz Karimi","doi":"10.1145/2632188.2632201","DOIUrl":"https://doi.org/10.1145/2632188.2632201","url":null,"abstract":"Information extraction from social media for a variety of applications, such as collecting people opinion about a product or a political party, has been widely studied and justified. Extracting information for health related applications however is less justified especially because of sensitivity of health issues, difficulty in establishing the value and trust in lay people to judge their health problems. Using social media to discover adverse drug reactions is one of the most controversial topics. It is difficult to establish the causality between an adverse drug reaction and a drug when the context information such as patient condition is missing. We compare official reports of adverse drug reactions with reports on medical forums related to two different drugs to discuss the potential and challenges in this research area.","PeriodicalId":178656,"journal":{"name":"Proceedings of the first international workshop on Social media retrieval and analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying time zones in a large dataset of music listening logs","authors":"Gabriel Vigliensoni, Ichiro Fujinaga","doi":"10.1145/2632188.2632203","DOIUrl":"https://doi.org/10.1145/2632188.2632203","url":null,"abstract":"Knowing where listeners are is an important contextual dimension that can be used in context-aware music recommendation systems to improve their performance. This paper presents our research on identifying the time zone where listeners are by analysing their weekly aggregated music listening profiles. We collected a large dataset of full music listening histories (N=594K) of users of the Last.fm's scrobbler service from all around the globe, and formulated six approaches for identifying the time zone where these listening profiles have been generated based on their listeners' behaviour. The performance of these approaches was compared with a manually labelled dataset of listening profiles' time zones. We found that the best method was based on the assumption that people, in general, sleep during night time and submit fewer music logs. This approach, implemented by estimating the local minima of people's weekly aggregated listening profile, resulted in a 75 percent correctly identified time zones with a tolerance of +/- 1 hour.","PeriodicalId":178656,"journal":{"name":"Proceedings of the first international workshop on Social media retrieval and analysis","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131992455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}