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Search Ad and Auction-Based Advertising
Published in Peng Liu, Wang Chao, Computational Advertising, 2020
With a view to its market share, search ad occupies more than half of the entire online advertising market. The revenue data of China’s integrated search engine advertising and vertical search engine advertising (e.g., Taobao through train – a marketing platform of Taobao) are listed in Table 5.1.1
Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them
Published in Human–Computer Interaction, 2021
Byron Reeves, Nilam Ram, Thomas N. Robinson, James J. Cummings, C. Lee Giles, Jennifer Pan, Agnese Chiatti, Mj Cho, Katie Roehrick, Xiao Yang, Anupriya Gagneja, Miriam Brinberg, Daniel Muise, Yingdan Lu, Mufan Luo, Andrew Fitzgerald, Leo Yeykelis
Examination of the document store is facilitated by a custom search engine that allows a user to enter a textual query (e.g., “president AND New York Times”) that returns a ranked list of screenshot thumbnails related to the input query. Indexing and search are done using a tailored vertical search engine built using Apache Solr Lucene. In brief, an XML-based document associated with each screenshot is indexed with respect to its enclosed text (with stemming and ignoring stop words) and content fields (e.g., geohash, content categories). When a researcher enters a query into the web-based user interface, all images with the exact text or content similar to the query are drawn from the document store, ranked based on relevance (e.g., using Okapi B25 metric; Robertson, Walker, Jones, Hancock-Beaulieu, & Gatford, 1995), and displayed to the researcher as a list of relevant screenshots. Summaries and links accompanying each search hit provide additional information (e.g., content category, geographic location, links to temporally adjacent screenshots). The search engine is critical for understanding the range of screen behaviors that pertain to specific content areas (e.g., health, politics), and for generating hypotheses about how screenome content is related to a wide range of thoughts, actions, and feelings.
Factors influencing viewing behaviour on search engine results pages: a review of eye-tracking research
Published in Behaviour & Information Technology, 2021
Dirk Lewandowski, Yvonne Kammerer
In addition to organic search results and sponsored results, so-called vertical results (or Universal Search results) are integrated into the ranked list of organic search results. According to Lewandowski et al. (2018, 421), Universal Search results are results generated from vertical search engine indexes, such as news, video, or images. Depending on the nature of the index, these results can either be generated similarly to organic results (as in the case of images) or be based on a certain collection of sources (as in the case of news, where a collection of trusted news sources is defined beforehand by the search engine vendor). Universal Search results can also come from document collections especially built by the search engine vendor (as opposed to the results from the web index that come from a multitude of sources distributed across the web).In a study by Liu et al. (2015), the influence of relevant as well as irrelevant vertical results on users’ visual attention was tested. They found an attraction bias, i.e. a strong bias towards more attention to the vertical results when the vertical results were relevant. This means that when a relevant vertical result was shown, it attracted more attention than an organic result. When a vertical result had strong visuals in the snippet (e.g. image-only, application, or news verticals), users looked at this result immediately, which means they attended to the first organic result later than on SERPs that only have organic results. Concerning the interplay between vertical results and regular organic results, Liu et al. further found that when the vertical results were relevant, users paid less attention to the organic results listed after the vertical result. In line with this finding, irrelevant vertical results increased the attention for organic results (‘spill-over effect’).