PAPER "Adapting Recommendation Diversity to Openness to Experience .. "

PAPER: "Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour"

Recommender systems offer items for a user to try or buy based on what is known about their previous preferences or behaviours. Often these recommendations are presented as a list of items. Historically, the emphasis has been on ensuring that items are useful to the user. More recently, the need for diverse recommendations has been recognized by the recommender systems community. There is some consensus that personality is a key aspect to consider when injecting novelty and diversity into recommendations, since attitudes towards new or diverse experiences vary considerably amongst users. Such a recommender system would therefore require a model which accurately describes the personality of users. The trait model from Psychology is a fitting candidate for this. It describes a user's personality by scores on several dimensions, called traits, which are measured via validated self-report questionnaires. Among trait models, the Five Factor Model (FFM, also known as the Big 5 model) has
been shown to have excellent reliability in practice.
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Which is the RIGHT approach to innovate in the Personality Based Recommender Systems Arena?
The same approach to innovate in the Online Dating Industry == 16PF5 test or similar to assess personality traits and a new method to calculate similarity between quantized patterns. That is exactly LIFEPROJECT METHOD, ready since 2001! 

 
Personality Based Recommender Systems are the next generation of recommender systems because they perform FAR better than Behavioural ones (past actions and pattern of personal preferences)
That is the only way to improve recommender systems, to include the personality traits of their users. They need to calculate personality similarity between users but  there are different formulas to calculate similarity.
In case you did not notice, recommender systems are morphing to .......... compatibility matching engines, as the same used in the Online Dating Industry since years, with low success rates!!! because they mostly use the Big5 to assess personality and the Pearson correlation coefficient to calculate similarity.
Please remember: Personality traits are highly stable in persons over 25 years old to 45 years old.
 
In compatibility matching methods there are 2 steps:
1) to objectively measure personality traits or other human variables (with the 16PF5 test) without distortion.
2) to calculate compatibility between prospective mates 

IPSATIVE personality tests are OBSOLETE (self-descriptive questionnaires) and should be discarded: MBTI (PerfectMatch), DISC (ThomasKnowsPeople), Enneagram (Dopasowani) or other proprietary ipsative tests like the ones used at Chemistry, ButterfliesAgain, Doskonalapara, PembePanjur, LittleHint, oneGoodLove and others.

NORMATIVE personality tests like Big5 versions used at PlentyOfFish, eHarmony , Meetic Affinity, Parship, Be2, True are good for guidance (orientation) purposes but not good enough for predictive purposes.
"Because the Big Five groups the more specific primary-level factors, feedback organized around the five Global Factor scales is more easily understood. For detailed feedback or predictive purposes, one should assess the more specific primary factors. Research has shown that more specific factors like the primary scales of the 16PF Questionnaire predict actual behavior better than the Big 5 Global Factors. For example, one extravert (a bold, fearless, high-energy type) may differ considerably from another (a sweet, warm, sensitive type), depending on the extraversion-related primary scale score patterns, so deeper analysis is typically warranted." Extracted from the 16PF5 Manual
Normative tests can not simply be translated, because you need the norm for that test, and that norm is actualized each and every time Census Figures are released
The 16PF5 test is available in
- English for the United States and the Norm for the United States (sample of individuals with the same demographic characteristics of the United States).
- English for Canada and the Norm for Canada (sample of individuals with the same demographic characteristics of Canada)
- English for the United Kingdom and the Norm for the United Kingdom (sample of individuals with the same demographic characteristics of the United Kingdom).
- English for Australia and the Norm for Australia (sample of individuals with the same demographic characteristics of Australia).
- French for France and the Norm for France.
- German for Germany and the Norm for Germany.
- Spanish for Spain and the Norm for Spain.
- Italian for Italy and the Norm for Italy.
and many more "With over 60 years of research and application behind it, the 16PF5 has become internationally well known and respected, with over 20 different translated versions."

The output of the 16PF5 test are 16 variables STens (Standard Tens) taking integer values from 1 to 10. STens divide the score scale into ten units.
STens have the advantage that they enable results to be thought of in terms of bands of scores, rather than absolute raw scores. These bands are narrow enough to distinguish statistically significant differences between candidates, but wide enough not to over emphasize minor differences between candidates.

WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 (or similar) to assess personality of its members!
but no one calculates similarity with a quantized pattern comparison method!
but no one can show Compatibility Distribution Curves to each and every of its members!
but no one is scientifically proven! The only way to revolutionize the Online Dating Industry is using the 16PF5 normative personality test, available in different languages to assess personality of members, or a proprietary test with exactly the same traits of the 16PF5 and expressing compatibility with eight decimals (needs a quantized pattern comparison method, part of pattern recognition by cross-correlation, to calculate similarity between prospective mates.)
High precision in matching algorithms is precisely the key to open the door and leave the infancy of compatibility testing.
It is all about achieving the eighth decimal!
With 8 decimals, you have more precision than any person could achieve by searching on one's own, but the only way to achieve the eighth decimal is using analysis and correlation with quantized patterns.
Without offering the NORMATIVE16PF5 (or similar test measuring exactly the 16 personality factors) for serious dating, it will be impossible to innovate and revolutionize the Online Dating Industry All other proposals are NOISE and perform as placebo.

What comes after Social Networking?
My bet: The Next Big Investment Opportunity on the Internet will be …. Personalization!
Personality Based Recommender Systems and Strict Personality Based Compatibility Matching Engines for serious Online Dating with the normative 16PF5 personality test. The market remains enormous!! 

PAPER "Age and Gender Differences in Motivational Manifestations of the Big Five From Age 16 to 60"

The present cross-sectional study investigated age and gender differences in motivational manifestations of the Big Five in a large German-speaking Internet sample (N = 19,022). Participants ranging in age from 16 to 60 years completed the Five Individual Reaction Norms Inventory (FIRNI; Denissen & Penke,2008a), and two traditional Big Five measures. Age differences were found suggesting that mean levels of neuroticism and extraversion are negatively associated with age, whereas agreeableness and conscientiousness are positively associated. Openness to experience demonstrated a curvilinear association with age, with the highest mean levels in midlife. Gender differences were found suggesting that women, on average, have higher levels of neuroticism, extraversion, and agreeableness, while men are more open to experience. Neither the main effect of gender nor Age x Gender interactions were significant in the case of conscientiousness. In comparison to the 2 traditional Big Five measures, age differences in the motivational manifestations of the Big Five as assessed by the FIRNI were more pronounced, which might be explained by the greater developmental plasticity of flexible motivational processes or the intraindividual phrasing of the items of the FIRNI, compared to the kinds of behavioral descriptions that are emphasized in traditional Big Five items. The further study of such motivational processes might contribute to a better understanding of personality development.

Please read also:
"Stability and change of personality across the life course"
and
"personality traits are highly stable"

Remember:
Personality traits are highly stable in persons over 25 years old to 45 years old (the group of persons who could be most interested in serious online dating) They have only minor changes in personality (less than 1 interval in a normative test) and the 16PF5 test will not "see" them because the output of the 16PF5 test are 16 variables STens (Standard Tens) taking integer values from 1 to 10. STens divide the score scale into ten units. STens have the advantage that they enable results to be thought of in terms of bands of scores, rather than absolute raw scores. These bands are narrow enough to distinguish statistically significant differences between candidates, but wide enough not to over emphasize minor differences between candidates.

The state of affairs: Critical performativity and the online dating industry.

The state of affairs: Critical performativity and the online dating industry. That paper is in the category of FLAWED papers.

The authors should had read the 3 milestone discoveries of the 2001 - 2010 decade for Theories of Romantic Relationships Development :

I) Several studies showing contraceptive pills users make different mate choices, on average, compared to non-users. "Only short-term but not long-term partner preferences tend to vary with the menstrual cycle"
II) People often report partner preferences that are not compatible with their choices in real life. (Behavioural recommender systems or other system that learns your preferences are useless)
III) What is important in attracting people to one another may not be important in making couples happy. Compatibility is all about a high level on personality similarity between prospective mates for long term mating with commitment.

Also there is a similarity trilogy between genetic, mate choice and personality based recommender systems.
WorldWide, there are over 5,000 -five thousand- online dating sites
but no one is using the 16PF5 (or similar) to assess personality of its members!
but no one calculates similarity with a quantized pattern comparison method!
but no one can show Compatibility Distribution Curves to each and every of its members!
but no one is scientifically proven! The only way to revolutionize the Online Dating Industry is using the 16PF5 normative personality test, available in different languages to assess personality of members, or a proprietary test with exactly the same traits of the 16PF5 and expressing compatibility with eight decimals (needs a quantized pattern comparison method, part of pattern recognition by cross-correlation, to calculate similarity between prospective mates.)

Gonzaga GAME OVER at eHarmony

Gonzaga GAME OVER at eHarmony.

PAPER: "Gender variation in writing: Analyzing online dating ads"

Gender variation in writing: Analyzing online dating ads

Abstract
In the present study, a corpus of more than 18,000 online dating ads (downloaded from Craigslist ~ 1.4 million words) is used to investigate differences in language use between men and women in the online dating context. Few studies have investigated gender differences in written texts, Newman, Groom et al. (2008), Mulac and Lundell (1994) and Koppel, Argamon et al. (2002) being the notable exceptions. These papers, however, differ remarkably in methodology and results. In the dataset studied here, regression analysis reveals marked differences the use of linguistic features such as emoticons or abbreviations. Writer gender and addressee gender emerge as predictors of variation.

PAPER "Quantifying the Invisible Audience in Social Networks"

ABSTRACT
When you share content in an online social network, who is listening? Users have scarce information about who actually sees their content, making their audience seem invisible and difficult to estimate. However, understanding this invisible audience can impact both science and design, since perceived audiences influence content production and self-presentation online. In this paper, we combine survey and large-scale log data to examine how well users' perceptions of their audience match their actual audience on Facebook. We find that social media users consistently underestimate their audience size for their posts, guessing that their audience is just 27% of its true size. Qualitative coding of survey responses reveals folk theories that attempt to reverse-engineer audience size using feedback and friend count, though none of these approaches are particularly accurate. We analyze audience logs for 222,000 Facebook users' posts over the course of one month and find that publicly visible signals — friend count, likes, and comments — vary widely and do not strongly indicate
the audience of a single post. Despite the variation, users typically reach 61% of their friends each month. Together, our results begin to reveal the invisible undercurrents of audience attention and behavior in online social networks.

Featured paper: "Mobile Profiles, Pliable Identities, Deception & Perception .. "

ABSTRACT
This paper examines the use of dating sites designed to connect with others for the purpose of intimate relationships. Most users on these sites are seeking a romantic relationship or explicitly state otherwise. However, some users post fraudulent photos and self-descriptions to establish a desirable perception in potential partners, and they often engage in extensive measures to develop intimacy and maintain the relationship. The desire to have an intimate relationship based on a fraudulent representation of self that will not culminate in a physical relationship is increasingly likely as a result of several recent developments, including the anthropomorphization of mobile phones, social media that has raised our desire to be Liked rather than loved, and the commoditization of relationships by extensive social media usage.

Please see also: "Traces of Deception in Online Dating Profiles"