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28
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
Computers and iphones and mobile phones, oh my! a logs-based comparison of search users on different devices. WWW
, 2008
"... We present a logs-based comparison of search patterns across three platforms: computers, iPhones and conventional mobile phones. Our goal is to understand how mobile search users differ from computer-based search users, and we focus heavily on the distribution and variability of tasks that users per ..."
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Cited by 46 (3 self)
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We present a logs-based comparison of search patterns across three platforms: computers, iPhones and conventional mobile phones. Our goal is to understand how mobile search users differ from computer-based search users, and we focus heavily on the distribution and variability of tasks that users perform from each platform. The results suggest that search usage is much more focused for the average mobile user than for the average computer-based user. However, search behavior on high-end phones resembles computer-based search behavior more so than mobile search behavior. A wide variety of implications follow from these findings. First, there is no single search interface which is suitable for all mobile phones. We suggest that for the higherend phones, a close integration with the standard computer-based interface (in terms of personalization and available feature set) would be beneficial for the user, since these phones seem to be treated as an extension of the users ' computer. For all other phones, there is a huge opportunity for personalizing the search experience for the user's "mobile needs", as these users are likely to repeatedly search for a single type of information need on their phone.
Understanding the intent behind mobile information needs
- In Proceedings of IUI ’09
, 2009
"... Mobile phones are becoming increasingly popular as a means of information access while on-the-go. Mobile users are likely to be interested in locating different types of content. However, the mobile space presents a number of key chal-lenges, many of which go beyond issues with device charac-teristi ..."
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Cited by 39 (8 self)
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Mobile phones are becoming increasingly popular as a means of information access while on-the-go. Mobile users are likely to be interested in locating different types of content. However, the mobile space presents a number of key chal-lenges, many of which go beyond issues with device charac-teristics such as screen-size and input capabilities. In partic-ular, changing contexts such as location, time, activity and social interactions are likely to impact on the types of infor-mation needs that arise. In order to offer personalized, effec-tive mobile services we need to understand mobile users in more detail. Thus we carried out a four-week diary study of mobile information needs, looking in particular at the goal/intent behind mobile information needs, the topics users are interested in and the impact of mobile contexts such as location and time on user needs.
Understanding mobile web and mobile search use in today’s dynamic mobile landscape
- In Proceedings of MobileHCI'12 (2011
"... The term mobile Web is changing. Mobile is tradi-tionally associated with on-the-move, portable and dy-namic. However, with the advent of smartphones, an increasing number of users are accessing the mobile In-ternet via their phone while in more stationary and familiar settings, like at home or at w ..."
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Cited by 24 (4 self)
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The term mobile Web is changing. Mobile is tradi-tionally associated with on-the-move, portable and dy-namic. However, with the advent of smartphones, an increasing number of users are accessing the mobile In-ternet via their phone while in more stationary and familiar settings, like at home or at work. This shift in the meaning of mobile is having a significant effect on mobile Web behavior. Designing great mobile Web experiences requires a deeper understanding of the in-formation needs, behaviors and underlying motivations of mobile users. As such, the goal of this work is to study this shift and its impact on mobile Internet ac-cess, with a view to determining what this means for the future of the mobile Web and in particular mobile search. In this paper we present the results of an online diary and interview study of 18 active mobile Web users over a 4-week period focusing on how, why, where and in what situations people use the mobile Internet and mobile search. Our findings raise a new set of open re-search questions and point to a number of implications for enriching the experiences of mobile Web users. Author Keywords Mobile web, mobile search, mobile internet, user behav-
Pocket Cloudlets
"... Cloud services accessed through mobile devices suffer from high network access latencies and are constrained by energy budgets dictated by the devices ’ batteries. Radio and battery technologies will improve over time, but are still expected to be the bottlenecks in future systems. Non-volatile memo ..."
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Cited by 16 (4 self)
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Cloud services accessed through mobile devices suffer from high network access latencies and are constrained by energy budgets dictated by the devices ’ batteries. Radio and battery technologies will improve over time, but are still expected to be the bottlenecks in future systems. Non-volatile memories (NVM), however, may continue experiencing significant and steady improvements in density for at least ten more years. In this paper, we propose to leverage the abundance in memory capacity of mobile devices to mitigate latency and energy issues when accessing cloud services. We first analyze NVM technology scaling trends, and then propose a cloud service cache architecture that resides on the mobile device’s NVM (pocket cloudlet). This architecture utilizes both individual user and community access models to maximize its hit rate, and subsequently reduce overall service latency and energy consumption. As a showcase we present the design, implementation and evaluation of PocketSearch, a search and advertisement pocket cloudlet. We perform mobile search characterization to guide the design of PocketSearch and evaluate it with 200 million mobile queries from the search logs of m.bing.com. We show that PocketSearch can serve, on average, 66 % of the web search queries submitted by an individual user without having to use the slow 3G link, leading to 16x service access speedup. Finally, based on experience with PocketSearch we provide additional insight and guidelines on how future pocket cloudlets should be organized, from both an architectural and an operating system perspective.
Exploring Cross-Device Web Use on PCs and Mobile Devices
"... Abstract. In this paper, we explore whether sharing a user’s web browsing activity across their computing devices can make it easier to find and access web sites on a mobile device. We first surveyed 175 smartphone users about their web use across multiple devices. We found that users shared web inf ..."
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Cited by 14 (0 self)
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Abstract. In this paper, we explore whether sharing a user’s web browsing activity across their computing devices can make it easier to find and access web sites on a mobile device. We first surveyed 175 smartphone users about their web use across multiple devices. We found that users shared web information between devices, but generally used cumbersome manual methods to do so. In a second study, we tracked the web sites visited by 14 participants on their PC and mobile phone, and used experience-sampling surveys to determine whether sharing sites across devices would be useful. We found that participants visited many of the same sites on both their mobile device and PC, and that participants were interested in viewing additional sites from their PC on their mobile device. Our results suggest that automatically sharing web activity information between devices has potential to improve the usability of the mobile web.
Understanding Tablet Use: A Multi-Method Exploration
"... Tablet ownership has grown rapidly over the last year. While market research surveys have helped us understand the demographics of tablet ownership and provided early insights into usage, there is little comprehensive research available. This paper describes a multi-method research effort that emplo ..."
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Cited by 9 (0 self)
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Tablet ownership has grown rapidly over the last year. While market research surveys have helped us understand the demographics of tablet ownership and provided early insights into usage, there is little comprehensive research available. This paper describes a multi-method research effort that employed written and video diaries, in-home interviews, and contextual inquiry observations to learn about tablet use across three locations in the US. Our research provides an in-depth picture of frequent tablet activities (e.g., checking emails, playing games, social networking), locations of use (e.g., couch, bed, table), and contextual factors (e.g., watching TV, eating, cooking). It also contributes an understanding of why and how people choose to use tablets. Popular activities for tablet use, such as media consumption, shopping, cooking, and productivity are also explored. The findings from our research provide design implications and opportunities for enriching the tablet experience, and agendas for future research. Author Keywords Tablet; mobile devices; diary study; video diary; contextual
2013. Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance
- In Proceedings of the 22nd International Conference onWorld Wide Web
"... ABSTRACT In this paper, we present a log-based study on user search behavior comparisons on three different platforms: desktop, mobile and tablet. We use three-month search logs in 2012 from a commercial search engine for our study. Our objective is to better understand how and to what extent mobil ..."
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Cited by 9 (0 self)
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ABSTRACT In this paper, we present a log-based study on user search behavior comparisons on three different platforms: desktop, mobile and tablet. We use three-month search logs in 2012 from a commercial search engine for our study. Our objective is to better understand how and to what extent mobile and tablet searchers behave differently than desktop users. Our study spans a variety of aspects including query categorization, query length, search time distribution, search location distribution, user click patterns and so on. From our data set, we reveal that there are significant differences between user search patterns in these three platforms, and therefore use the same ranking system is not an optimal solution for all of them. Consequently, we propose a framework that leverages a set of domain-specific features, along with the training data from desktop search, to further improve the search relevance for mobile and tablet platforms. Experimental results demonstrate that by transferring knowledge from desktop search, search relevance on mobile and tablet can be greatly improved.
Enhanced results for web search
- In SIGIR’11. ACM
, 2011
"... “Ten blue links ” have defined web search results for the last fifteen years – snippets of text combined with document titles and URLs. In this paper, we establish the notion of enhanced search results that extend web search results to include multimedia objects such as images and video, intentspeci ..."
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Cited by 9 (1 self)
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“Ten blue links ” have defined web search results for the last fifteen years – snippets of text combined with document titles and URLs. In this paper, we establish the notion of enhanced search results that extend web search results to include multimedia objects such as images and video, intentspecific key value pairs, and elements that allow the user to interact with the contents of a web page directly from the search results page. We show that users express a preference for enhanced results both explicitly, and when observed in their search behavior. We also demonstrate the effectiveness of enhanced results in helping users to assess the relevance of search results. Lastly, we show that we can efficiently generate enhanced results to cover a significant fraction of search result pages.
I wanted to settle a bet!: understanding why and how people use mobile search in social settings
- In Proceedings of MobileHCI'12 (2012
, 2012
"... Recent work in mobile computing has highlighted that con-versations and social interactions have a significant impact on mobile Web and mobile search behaviours. To date, however, this social element has not been explored fully and little is known about why and how mobile users search for informa-ti ..."
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Cited by 8 (1 self)
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Recent work in mobile computing has highlighted that con-versations and social interactions have a significant impact on mobile Web and mobile search behaviours. To date, however, this social element has not been explored fully and little is known about why and how mobile users search for informa-tion in social settings. The goal of this work is to provide a deeper understanding of social mobile search behaviours so that we may improve future mobile search experiences that involve a social component. To this end we present the re-sults of two studies: a survey involving almost 200 users and a two-week diary and follow-up interview study of 20 users. Our results extend past research in the mobile search space, by exploring the motivations, circumstances and experiences of using mobile search in social settings to satisfy group in-formation needs. Our findings point to a number of open re-search challenges and implications for enriching the search experiences of mobile users. Author Keywords Mobile search; social mobile search; shared mobile search; search behaviour; collaborative search; survey; diary study
