{"title":"Late fusion of compact composite descriptors for retrieval from heterogeneous image databases","authors":"S. Chatzichristofis, A. Arampatzis","doi":"10.1145/1835449.1835635","DOIUrl":"https://doi.org/10.1145/1835449.1835635","url":null,"abstract":"Compact composite descriptors (CCDs) are global image features, capturing more than one types of information at the same time in a very compact representation. Their quality has so far been evaluated in retrieval from several homogeneous databases containing images of only the type that each CCD is intended for, and has been found better than other descriptors in the literature such as the MPEG-7 descriptors. In this study, we consider heterogeneous databases and investigate query-time fusion techniques for CCDs. The results show that fusion is beneficial, even with simple score normalization and combination methods due to the compatibility of the score distributions produced by the CCDs considered.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130175271","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}
Andrei Popescu-Belis, J. Kilgour, P. Poller, Alexandre Nanchen, E. Boertjes, J. D. Wit
{"title":"Automatic content linking: speech-based just-in-time retrieval for multimedia archives","authors":"Andrei Popescu-Belis, J. Kilgour, P. Poller, Alexandre Nanchen, E. Boertjes, J. D. Wit","doi":"10.1145/1835449.1835570","DOIUrl":"https://doi.org/10.1145/1835449.1835570","url":null,"abstract":"The Automatic Content Linking Device monitors a conversation and uses automatically recognized words to retrieve documents that are of potential use to the participants. The document set includes project related reports or emails, transcribed snippets of past meetings, and websites. Retrieval results are displayed at regular intervals.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127378257","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":"Multilingual people search","authors":"Shaishav Kumar, Raghavendra Udupa","doi":"10.1145/1835449.1835575","DOIUrl":"https://doi.org/10.1145/1835449.1835575","url":null,"abstract":"People Search is an important search service with multiple applications (eg. looking up a friend on Facebook, finding colleagues in corporate email directories etc). With the proportion of non-English users on a steady rise, people search services are being used by users from diverse language demographics. Users may issue name search queries against these directories in languages other than the language of the directory, in which case the present monolingual name search approaches will not work. In this demo, we present a Multilingual People Search system capable of performing fast name lookups on large user directories, independent of the directory language. Our system has applications in areas like social networking, enterprise search and email address book search.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127790563","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: Test-collections","authors":"John R. Tait","doi":"10.1145/3254384","DOIUrl":"https://doi.org/10.1145/3254384","url":null,"abstract":"","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129614268","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":"Personalize web search results with user's location","authors":"Yumao Lu, Fuchun Peng, Xing Wei, Benoît Dumoulin","doi":"10.1145/1835449.1835604","DOIUrl":"https://doi.org/10.1145/1835449.1835604","url":null,"abstract":"We build a probabilistic model to identify implicit local intent queries, and leverage user's physical location to improve Web search results for these queries. Evaluation on commercial search engine shows significant improvement on search relevance and user experience.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126509250","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":"Leveraging user interaction and collaboration for improving multilingual information access in digital libraries","authors":"Juliane Stiller","doi":"10.1145/1835449.1835689","DOIUrl":"https://doi.org/10.1145/1835449.1835689","url":null,"abstract":"The goal of interactive cross-lingual information retrieval systems is to support users in formulating effective queries and selecting the documents which satisfy their information needs regardless of the language of these documents. This dissertation aims at harnessing user-system interaction, extracting the added value and integrating it back into the system to improve cross-lingual information retrieval for successive users. To achieve this, user input at different interaction points will be evaluated. This will, among others, include interaction during user-assisted query translations, implicit and explicit relevance feedback and social tags. To leverage this input, explorative studies need to be conducted to determine beneficial user input and the methods of extracting it.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129040303","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":"Learning to rank query reformulations","authors":"Van Dang, Michael Bendersky, W. Bruce Croft","doi":"10.1145/1835449.1835626","DOIUrl":"https://doi.org/10.1145/1835449.1835626","url":null,"abstract":"Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good quality, these techniques are often not reliable enough to identify the helpful reformulations among the suggested queries. In this paper, we show that we can use as few as two features to rerank a list of reformulated queries, or expanded queries to be specific, generated by a log-based query reformulation technique. Our results across five TREC collections suggest that there are consistently more useful reformulations in the first two positions in the new ranked list than there were initially, which leads to statistically significant improvements in retrieval effectiveness.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127885906","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}
P. Bailey, Nick Craswell, Ryen W. White, Liwei Chen, A. Satyanarayana, S. Tahaghoghi
{"title":"Evaluating whole-page relevance","authors":"P. Bailey, Nick Craswell, Ryen W. White, Liwei Chen, A. Satyanarayana, S. Tahaghoghi","doi":"10.1145/1835449.1835606","DOIUrl":"https://doi.org/10.1145/1835449.1835606","url":null,"abstract":"Whole page relevance defines how well the surface-level repre-sentation of all elements on a search result page and the corre-sponding holistic attributes of the presentation respond to users' information needs. We introduce a method for evaluating the whole-page relevance of Web search engine results pages. Our key contribution is that the method allows us to investigate aspects of component relevance that are difficult or impossible to judge in isolation. Such aspects include component-level information redundancy and cross-component coherence. The method we describe complements traditional document relevance measurement, affords comparative relevance assessment across multiple search engines, and facilitates the study of important factors such as brand presentation effects and component-level quality.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121089053","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":"Extraction of open-domain class attributes from text: building blocks for faceted search","authors":"Marius Pasca","doi":"10.1145/1835449.1835681","DOIUrl":"https://doi.org/10.1145/1835449.1835681","url":null,"abstract":"Knowledge automatically extracted from text captures instances, classes of instances and relations among them. In particular, the acquisition of class attributes (e.g., \"top speed\", \"body style\" and \"number of cylinders\" for the class of \"sports cars\") from text is a particularly appealing task and has received much attention recently, given its natural fit as a building block towards the far-reaching goal of constructing knowledge bases from text. This tutorial provides an overview of extraction methods developed in the area of Web-based information extraction, with the purpose of acquiring attributes of open-domain classes. The attributes are extracted for classes organized either as a flat set or hierarchically. The extraction methods operate over unstructured or semi-structured text available within collections of Web documents, or over relatively more intriguing data sources consisting of anonymized search queries. The methods take advantage of weak supervision provided in the form of seed examples or small amounts of annotated data, or draw upon knowledge already encoded within human-compiled resources (e.g., Wikipedia). The more ambitious methods, aiming at acquiring as many accurate attributes from text as possible for hundreds or thousands of classes covering a wide range of domains of interest, need to be designed to scale to Web collections. This restriction has significant consequences on the overall complexity and choice of underlying tools, in order for the extracted attributes to ultimately aid information retrieval in general and Web search in particular, by producing relevant attributes for open-domain classes, along with other types of relations among instances or among classes.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123277196","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":"Finding people and their utterances in social media","authors":"W. Weerkamp","doi":"10.1145/1835449.1835691","DOIUrl":"https://doi.org/10.1145/1835449.1835691","url":null,"abstract":"Since its introduction, social media, \"a group of internet-based applications that (...) allow the creation and exchange of user generated content\" [1], has attracted more and more users. Over the years, many platforms have arisen that allow users to publish information, communicate with others, connect to like-minded, and share anything a users wants to share. Text-centric examples are mailing lists, forums, blogs, community question answering, collaborative knowledge sources, social networks, and microblogs, with new platforms starting all the time. Given the volume of information available in social media, ways of accessing this information intelligently are needed; this is the scope of my research. Why should we care about information in social media? Here are three examples that motivate my interest. (A) Viewpoint research; someone wants to take note of the viewpoints on a particular issue. (B) Answers to problems; many problems have been encountered before, and people have shared solutions. (C) Product development; gaining insight into how people use a product and what features they wish for, eases the development of new products. Looking at these examples of information need in social media, we observe that they revolve not just around relevance in the traditional sense (i.e., objects relevant to a given topic), but also around criteria like credibility, authority, viewpoints, expertise, and experiences. However, these additional aspects are typically conditioned on the topical relevance of information objects. In social media, \"information objects\" come in several types but many are utterances created by people (blog posts, emails, questions, answers, tweets). People and their utterances offer two natural entry points to information contained in social media: utterances that are relevant and people that are of interest. I focus on three tasks in which the interaction between the two is key.","PeriodicalId":378368,"journal":{"name":"Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval","volume":"418 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124196923","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}