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36
Exploiting social networks for Internet search
- In Proceedings of the 5th Workshop on Hot Topics in Networks (HotNets-V
, 2006
"... Over the last decade, the World Wide Web and Web search engines have fundamentally transformed the way people find and share information. Recently, a new form of publishing and locating information, known as online ..."
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Cited by 73 (3 self)
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Over the last decade, the World Wide Web and Web search engines have fundamentally transformed the way people find and share information. Recently, a new form of publishing and locating information, known as online
Travel recommender systems
- IEEE Intelligent Systems
"... Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications. Recommendation techniques can increase the usability of mobile systems providing personal ..."
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Cited by 68 (15 self)
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Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications. Recommendation techniques can increase the usability of mobile systems providing personalized and more focussed content, hence limiting the negative effects of information overload. In this paper we review the major issues and opportunities that the mobile scenario opens to the application of recommender systems especially in the area of travel and tourism. We overview major techniques that have been proposed in the last years and we illustrate the supported functions. We also illustrate specific computational models that have been proposed for mobile recommender systems and we close the paper by presenting some possible future developments and extension in this area. 1
Algorithmic Mediation for Collaborative Exploratory Search
- Proceedings of SIGIR
"... We describe a new approach to information retrieval: algorithmic mediation for intentional, synchronous collaborative exploratory search. Using our system, two or more users with a common information need search together, simultaneously. The collaborative system provides tools, user interfaces and, ..."
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Cited by 60 (18 self)
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We describe a new approach to information retrieval: algorithmic mediation for intentional, synchronous collaborative exploratory search. Using our system, two or more users with a common information need search together, simultaneously. The collaborative system provides tools, user interfaces and, most importantly, algorithmically-mediated retrieval to focus, enhance and augment the team’s search and communication activities. Collaborative search outperformed post hoc merging of similarly instrumented single user runs. Algorithmic mediation improved both collaborative search (allowing a team of searchers to find relevant information more efficiently and effectively), and exploratory search (allowing the searchers to find relevant information that cannot be found while working individually).
Mobile information access: A study of emerging search behavior on the mobile internet
- ACM Transactions on the Web
"... It is likely that mobile phones will soon come to rival more traditional devices as the primary platform for information access. Consequently, it is important to understand the emerging infor-mation access behavior of mobile Internet (MI) users especially in relation to their use of mobile handsets ..."
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Cited by 49 (10 self)
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It is likely that mobile phones will soon come to rival more traditional devices as the primary platform for information access. Consequently, it is important to understand the emerging infor-mation access behavior of mobile Internet (MI) users especially in relation to their use of mobile handsets for information browsing and query-based search. In this article, we describe the results of a recent analysis of the MI habits of more than 600,000 European MI users, with a particu-lar emphasis on the emerging interest in mobile search. We consider a range of factors including whether there are key differences between browsing and search behavior on the MI compared to the Web. We highlight how browsing continues to dominate mobile information access, but go on to show how search is becoming an increasingly popular information access alternative espe-cially in relation to certain types of mobile handsets and information needs. Moreover, we show that sessions involving search tend to be longer and more data-rich than those that do not in-volve search. We also look at the type of queries used during mobile search and the way that these queries tend to be modified during the course of a mobile search session. Finally we exam-ine the overlap among mobile search queries and the different topics mobile users are interested in.
A large scale study of european mobile search behaviour
- In Proceedings of MobileHCI ’08
, 2008
"... Recent evidence suggests that mobile search is becoming an in-creasingly important way for mobile users to gain access to on-line information, especially as off-portal content continues to grow rapidly. In this paper we study the characteristics of mobile search by analysing approximately 6 million ..."
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Cited by 28 (7 self)
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Recent evidence suggests that mobile search is becoming an in-creasingly important way for mobile users to gain access to on-line information, especially as off-portal content continues to grow rapidly. In this paper we study the characteristics of mobile search by analysing approximately 6 million individual search requests generated by over 260,000 individual mobile searchers over a 7-day period during 2006. We analyse the patterns of queries used by mobile searchers and focus on key characteristics such as the click-thru rates of mobile searches in order to understand, for the first time, just how well mobile search engines are responding to user queries. Moreover, we compare our results to a number of recent mobile studies and highlight some of the key differences between mobile search and traditional Web search behaviours.
Cooperating search communities
- PROC. OF 4TH INTERNATIONAL CONFERENCE ON ADAPTIVE HYPERMEDIA AND ADAPTIVE WEBBASED SYSTEMS (AH'2006). LECTURE NOTES IN COMPUTER SCIENCE
, 2006
"... Collaborative Web Search (CWS) seeks to exploit the high degree of natural query repetition and result selection regularity that is prevalent among communities of searchers. CWS reuses the search experiences of community members, to promote results that have previously been judged relevant for quer ..."
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Cited by 17 (2 self)
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Collaborative Web Search (CWS) seeks to exploit the high degree of natural query repetition and result selection regularity that is prevalent among communities of searchers. CWS reuses the search experiences of community members, to promote results that have previously been judged relevant for queries. This facilitates a better response to the type of vague queries that are commonplace in Web search and allows a generic search engine to adapt to the preferences of communities of individuals. CWS contemplates a society of search communities, each with its own repository of experience. In this paper we describe and evaluate a new technique for leveraging the search experiences of related communities as sources of additional search knowledge.
Online social networks: Measurement, Analysis, and . . .
, 2009
"... Recently, online social networking sites have exploded in popularity. Numerous sites are dedicated to finding and maintaining contacts and to locating and sharing different types of content. Online social networks represent a new kind of information network that differs significantly from existing n ..."
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Cited by 13 (0 self)
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Recently, online social networking sites have exploded in popularity. Numerous sites are dedicated to finding and maintaining contacts and to locating and sharing different types of content. Online social networks represent a new kind of information network that differs significantly from existing networks like the Web. For example, in the Web, hyperlinks between content form a graph that is used to organize, navigate, and rank information. The properties of the Web graph have been studied extensively, and have lead to useful algorithms such as PageRank. In contrast, few links exist between content in online social networks and instead, the links exist between content and users, and between users themselves. However, little is known in the research community about the properties of online social network graphs at scale, the factors that shape their structure, or the ways they can be leveraged in information systems. In this thesis, we use novel measurement techniques to study online social networks at scale, and use the resulting insights to design innovative new information systems. First, we examine the structure and growth patterns of online social net-works, focusing on how users are connecting to one another. We conduct the first
Generating Suggestions for Queries in the Long Tail with an Inverted Index
, 2011
"... ... current query and the knowledge base built from historical users’ sessions, we re-conduct et al., 2009). Basically, the model formalizes a way of exploiting the knowledge mined from query logs to help users to rapidly satisfy their information need. In the same work the use of Collaborative Filt ..."
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Cited by 12 (6 self)
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... current query and the knowledge base built from historical users’ sessions, we re-conduct et al., 2009). Basically, the model formalizes a way of exploiting the knowledge mined from query logs to help users to rapidly satisfy their information need. In the same work the use of Collaborative Filtering (CF) algorithms is investigated. However, the work highlights some limitations in the query recommendations solutions based on collaborative filtering mainly due to the poor and very sparse scoring information available in query logs. In fact, due to the long-tail distribution of query occur-rences, click information for low-frequency queries is rare and very sparse. Since implicit feedback information given by
Search shortcuts: a new approach to the recommendation of queries
- In: Proc. RecSys’09. ACM
, 2009
"... The recommendation of queries, known as query suggestion, is a common practice on major Web Search Engines. It aims to help users to find the information they are looking for, and is usually based on the knowledge learned from past interactions with the search engine. In this paper we pro-pose a new ..."
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Cited by 8 (1 self)
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The recommendation of queries, known as query suggestion, is a common practice on major Web Search Engines. It aims to help users to find the information they are looking for, and is usually based on the knowledge learned from past interactions with the search engine. In this paper we pro-pose a new model for query suggestion, the Search Shortcut Problem, that consists in recommending “successful ” queries that allowed other users to satisfy, in the past, similar infor-mation needs. This new model has several advantages with respect to traditional query suggestion approaches. First, it allows a straightforward evaluation of algorithms from available query log data. Moreover, it simplifies the ap-plication of several recommendation techniques from other domains. Particularly, in this work we applied Collaborative Filtering to this problem, and evaluated the interesting re-sults achieved on large query logs from AOL and Microsoft. Different techniques for analyzing and extracting informa-tion from query logs, as well as new metrics and techniques for measuring the effectiveness of recommendations are pro-posed and evaluated. The results obtained clearly show the importance of several of our contributions, and open an in-teresting field for future research.
Collaborative Information Seeking: A Literature Review 31
- Group 2009 Workshop on Collaborative Information Behavior. Sanibel Island, FL. Retrieved from http://www.personal.psu.edu/sap246/Shah_ CIB_Workshop.pdf
, 2009
"... Collaboration is often required for activities that are too complex or difficult to be dealt with by a single individual. Many situations requiring information-seeking activities also call for people to work together. Often the methods, systems, and tools that provide access to information assume th ..."
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Cited by 8 (2 self)
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Collaboration is often required for activities that are too complex or difficult to be dealt with by a single individual. Many situations requiring information-seeking activities also call for people to work together. Often the methods, systems, and tools that provide access to information assume that they are used only by individuals working on their tasks alone. This review points to the need to acknowledge the importance of collaboration in information-seeking processes, to study models, and to develop systems that are specifically designed to enable collaborative information seeking (CIS) tasks. This chapter reviews the literature from various domains including library and information science, human–computer interaction, collaborative systems, and information retrieval. Focus of the review is on the extent to which people work together on information seeking tasks and the systems and tools that are available for them to be successful. Since CIS occurs in the broader context of collaboration in general, a review of literature about collaborations is first undertaken to define it and place it into context with related terms such as cooperation and communication. A more focused review of research follows relating CIS to systems that have attempted to support such interactions. Included are identification and synthesis of a number of core issues in the field and how best to evaluate systems and collaborative tools. Key lessons learned from the review are summarized, and gaps in the literature identified to spur future research and study. I.
